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Smart meter
Smart meter
from Wikipedia
Example of a smart meter based on Open Smart Grid Protocol (OSGP) in use in Europe that has the ability to reduce load, disconnect-reconnect remotely, and interface to gas and water meters

A smart meter is an electronic device that records information—such as consumption of electric energy, voltage levels, current, and power factor—and communicates the information to the consumer and electricity suppliers. Advanced metering infrastructure (AMI) differs from automatic meter reading (AMR) in that it enables two-way communication between the meter and the supplier.

Description

[edit]

The term smart meter often refers to an electricity meter, but it also may mean a device measuring natural gas, water or district heating consumption.[1][2] More generally, a smart meter is an electronic device that records information such as consumption of electric energy, voltage levels, current, and power factor. Smart meters communicate the information to the consumer for greater clarity of consumption behavior, and electricity suppliers for system monitoring and customer billing. Smart meters typically record energy near real-time, and report regularly, in short intervals throughout the day.[3] Smart meters enable two-way communication between the meter and the central system. Smart meters may be part of a smart grid, but do not themselves constitute a smart grid.[4]

Advanced Metering Infrastructure (AMI) differs from Automated Meter Reading (AMR) in that it enables two-way communication between the meter and the supplier. Communications from the meter to the network may be wireless, or via fixed wired connections such as power-line communication (PLC). Wireless communication options in common use include cellular communications, Wi-Fi (readily available), wireless ad hoc networks over Wi-Fi, wireless mesh networks, low power long-range wireless (LoRa), Wize (high radio penetration rate, open, using the frequency 169 MHz) Zigbee (low power, low data rate wireless), and Wi-SUN (Smart Utility Networks).

Similar meters, usually referred to as interval or time-of-use meters, have existed for years, but smart meters usually involve real-time or near real-time sensors, power outage notification, and power quality monitoring. These additional features are more than simple AMR. They are similar in many respects to AMI meters. Interval and time-of-use meters historically have been installed to measure commercial and industrial customers, but may not have automatic reading.[citation needed] Research by the UK consumer group Which?, showed that as many as one in three confuse smart meters with energy monitors, also known as in-home display monitors.[5][when?]

History

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In 1972, Theodore Paraskevakos, while working with Boeing in Huntsville, Alabama, developed a sensor monitoring system that used digital transmission for security, fire, and medical alarm systems as well as meter reading capabilities. This technology was a spin-off from the automatic telephone line identification system, now known as Caller ID.

In 1974, Paraskevakos was awarded a U.S. patent for this technology.[6] In 1977, he launched Metretek, Inc.,[7] which developed and produced the first smart meters.[8] Since this system was developed pre-Internet, Metretek utilized the IBM series 1 mini-computer. For this approach, Paraskevakos and Metretek were awarded multiple patents.[9]

The installed base of smart meters in Europe at the end of 2008 was about 39 million units, according to analyst firm Berg Insight.[10] Globally, Pike Research found that smart meter shipments were 17.4 million units for the first quarter of 2011.[11] Visiongain determined that the value of the global smart meter market would reach US$7 billion in 2012.[12]

H.M. Zahid Iqbal, M. Waseem, and Dr. Tahir Mahmood, researchers of University of Engineering & Technology Taxila, Pakistan, introduced the concept of Smart Energy Meters in 2013. Their article, "Automatic Energy Meter Reading using Smart Energy Meter" outlined the key features of Smart Energy Meter including Automatic remote meter reading via GSM for utility companies and customers, Real-time monitoring of a customer's running load, Remote disconnection and reconnection of customer connections by the utility company and Convenient billing, eliminating the need of meter readers to physically visit the customers for billing.

As of January 2018, over 99 million electricity meters were deployed across the European Union, with an estimated 24 million more to be installed by the end of 2020. The European Commission DG Energy estimates the 2020 installed base to have required €18.8 billion in investment, growing to €40.7 billion by 2030, with a total deployment of 266 million smart meters.[13]

By the end of 2018, the U.S. had over 86 million smart meters installed.[14] In 2017, there were 665 million smart meters installed globally.[15] Revenue generation is expected to grow from $12.8 billion in 2017 to $20 billion by 2022.[16]

Purpose

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Since the inception of electricity deregulation and market-driven pricing throughout the world, utilities have been looking for a means to match consumption with generation. Non-smart electrical and gas meters only measure total consumption, providing no information of when the energy was consumed.[17] Smart meters provide a way of measuring electricity consumption in near real-time. This allows utility companies to charge different prices for consumption according to the time of day and the season.[18] It also facilitates more accurate cash-flow models for utilities. Since smart meters can be read remotely, labor costs are reduced for utilities.

Smart metering offers potential benefits to customers. These include, a) an end to estimated bills, which are a major source of complaints for many customers b) a tool to help consumers better manage their energy purchases—smart meters with a display outside their homes could provide up-to-date information on gas and electricity consumption and in doing so help people to manage their energy use and reduce their energy bills. With regards to consumption reduction, this is critical for understanding the benefits of smart meters because the relatively small percentage benefits in terms of savings are multiplied by millions of users.[19] Smart meters for water consumption can also provide detailed and timely information about customer water use and early notification of possible water leaks in their premises.[20] Electricity pricing usually peaks at certain predictable times of the day and the season. In particular, if generation is constrained, prices can rise if power from other jurisdictions or more costly generation is brought online. Proponents assert that billing customers at a higher rate for peak times encourages consumers to adjust their consumption habits to be more responsive to market prices and assert further, that regulatory and market design agencies hope these "price signals" could delay the construction of additional generation or at least the purchase of energy from higher-priced sources, thereby controlling the steady and rapid increase of electricity prices.[citation needed]

An academic study based on existing trials showed that homeowners' electricity consumption on average is reduced by approximately 3-5% when provided with real-time feedback.[21]

Another advantage of smart meters that benefits both customers and the utility is the monitoring capability they provide for the whole electrical system. As part of an AMI, utilities can use the real-time data from smart meters measurements related to current, voltage, and power factor to detect system disruptions more quickly, allowing immediate corrective action to minimize customer impact such as blackouts. Smart meters also help utilities understand the power grid needs with more granularity than legacy meters. This greater understanding facilitates system planning to meet customer energy needs while reducing the likelihood of additional infrastructure investments, which eliminates unnecessary spending or energy cost increases.[22]

Though the task of meeting national electricity demand with accurate supply is becoming ever more challenging as intermittent renewable generation sources make up a greater proportion of the energy mix, the real-time data provided by smart meters allow grid operators to integrate renewable energy onto the grid in order to balance the networks. As a result, smart meters are considered an essential technology to the decarbonisation of the energy system.[23]

Advanced metering infrastructure

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Advanced metering infrastructure (AMI) refers to systems that measure, collect, and analyze energy usage, and communicate with metering devices such as electricity meters, gas meters, heat meters, and water meters, either on request or on a schedule. These systems include hardware, software, communications, consumer energy displays and controllers, customer associated systems, meter data management software, and supplier business systems.

Government agencies and utilities are turning toward advanced metering infrastructure (AMI) systems as part of larger "smart grid" initiatives. AMI extends automatic meter reading (AMR) technology by providing two-way meter communications, allowing commands to be sent toward the home for multiple purposes, including time-based pricing information, demand-response actions, or remote service disconnects. Wireless technologies are critical elements of the neighborhood network, aggregating a mesh configuration of up to thousands of meters for back haul to the utility's IT headquarters.

The network between the measurement devices and business systems allows the collection and distribution of information to customers, suppliers, utility companies, and service providers. This enables these businesses to participate in demand response services. Consumers can use the information provided by the system to change their normal consumption patterns to take advantage of lower prices. Pricing can be used to curb the growth of peak demand consumption. AMI differs from traditional automatic meter reading (AMR) in that it enables two-way communications with the meter. Systems only capable of meter readings do not qualify as AMI systems.[24]

AMI implementation relies on four key components: Physical Layer Connectivity, which establishes connections between smart meters and networks, Communication Protocols to ensure secure and efficient data transmission, Server Infrastructure, which consists of centralized or distributed servers to store, process, and manage data for billing, monitoring, and demand response; and Data Analysis, where analytical tools provide insights, load forecasting, and anomaly detection for optimized energy management. Together, these components help utilities and consumers monitor and manage energy use efficiently, supporting smarter grid management.[25]

Physical Layer Connectivity

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Communication is a cornerstone of smart meter technology, enabling reliable and secure data transmission to central systems. However, the diversity of environments in which smart meters operate presents significant challenges. Solutions to these challenges encompass a range of communication methods[26] including Power-line communication[27] (PLC), Cellular network,[28] Wireless mesh network,[29] Short-range:[29]

  • Power-line communication for Smart Metering
Power Line Communication (PLC)[a] stands out among smart metering connectivity technologies because it leverages existing electrical power infrastructure for data transmission. Unlike cellular, radio-frequency (RF), or Wi-Fi-based solutions, PLC does not require building or maintaining separate communication networks, making it inherently more cost-effective and easier to scale. Two major PLC standards in smart metering are G3-PLC and the PRIME Alliance protocol.[27] G3-PLC supports IPv6-based communications and adaptive data rates, providing robust performance even in noisy environments, while PRIME (PoweRline Intelligent Metering Evolution) focuses on efficient, high-speed communication with low-cost implementation. PLC-based smart metering is deployed extensively in regions [30][31] like Europe, South America, and parts of Asia where dense infrastructure supports its use. Utilities favor PLC for its reliability in urban environments and for connecting large numbers of meters within smart grid networks.
An important feature of G3-PLC and PRIME is their ability to enable mesh networking (also called multi-hop), where smart meters act as repeaters for other meters in the network. This functionality allows meters to relay data from neighboring meters to ensure that the information reaches the Data Concentrator Unit (DCU), even if direct communication is not possible due to distance or signal obstructions. This approach enhances network reliability and coverage, particularly in dense urban environments or geographically challenging areas.[32]
  • Cellular Network (GPRS, NB-IoT, LTE-M): "Cellular technologies are highly scalable and secure. With national coverage, cellular connectivity can support a large number of meters in densely populated areas as well as reach those in remote locations."[28]
  • Wireless mesh network (e.g. Wirepas[33] and Wi-Sun[34]): Ideal for urban areas, where devices can relay data to optimize coverage and reliability. It is mostly used for Water Meter and Gas Meter
  • Short-range: such as Wireless M-Bus (WMBUS) are commonly used in smart metering applications to enable reliable, low-power communication between utility meters and local data collectors within buildings or neighborhoods.
  • Hybrid PLC/RF PRIME and G3-PLC standards defines an integrated approach for seamless integration of PLC and wireless communication, enhancing reliability and flexibility in smart grids.[35]

The challenges faced by rural utilities differ significantly from those of urban counterparts or utilities in remote, mountainous, or poorly serviced areas.

Smart meters often extend their functionality through integration into Home Area Networks (HANs). These networks enable communication within the household and may include:

  • In-Premises Displays: Providing real-time energy usage insights for consumers.
  • Hubs: Interfacing multiple meters with the central head-end system.[citation needed]

Technologies used in HANs vary globally but typically include PLC, wireless ad hoc networks, and Zigbee. By leveraging appropriate connectivity solutions, smart meters can address diverse environmental and infrastructural needs while delivering seamless communication and enhanced functionality.[citation needed]

Communication interface architecture

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The communication interface may be either:

  • Integrated within the meter: a smart meter includes its own communication module (e.g.: cellular, RF-Mesh, PLC) and transmits data directly (or through a data concentrator) to utility servers. These meters can also form a local mesh network and act as relays for nearby devices without direct WAN access.
  • Handled by an external local gateway next to the meter: in this architecture, the meter is limited to basic metrology and uses a local interface (e.g.: RS-485, Ethernet, or Wireless M-Bus) to forward data to a nearby gateway device. This gateway, often referred to as a smart meter gateway (SMGW) performs protocol translation, encryption, and handles upstream communication to utility systems via WAN technologies such as LTE, Ehternet or Wi-Fi.[citation needed]

Smart meters used as a gateway for water and gas meters

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Electricity smart meters start to be utilized as gateways for gas and water meters, creating integrated smart metering systems.[36] In this configuration, gas and water meters communicate with the electricity meter using Wireless M-Bus (Wireless Meter-Bus), a European standard (EN 13757-4) designed for secure and efficient data transmission between utility meters and data collectors. The electricity meter then aggregates this data and transmits it to the central utility network via Power Line Communication (PLC), which leverages existing electrical wiring for data transfer.

Communication Protocols

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Smart meter communication protocols are essential for enabling reliable, efficient, and secure data exchange between meters, utilities, and other components of advanced metering infrastructure (AMI). These protocols address the diverse requirements of global markets, supporting various communication methods, from optical ports and serial connections to power line communication (PLC) and wireless networks. Below is an overview of key protocols, including ANSI standards widely used in North America, IEC protocols prevalent in Europe, the globally recognized OSGP for smart grid applications, and the PLC-focused Meters and More, each designed to meet specific needs in energy monitoring and management.

Typical communication stacks from Smart Meter to DC

"IEC 62056 is the most widely adopted protocol"[37] for smart meter communication, enabling reliable, two-way data exchange within Advanced Metering Infrastructure (AMI) systems. It encompasses the DLMS/COSEM protocol for structuring and managing metering data. "It is widely used because of its flexibility, scalability, and ability to support different communication media such as Power Line Communication (PLC), TCP/IP, and wireless networks.".[37] It also supports data transmission over serial connections using ASCII or binary formats, with physical media options such as modulated light (via LED and photodiode) or wired connections (typically EIA-485).[38]

  • ANSI C12.18

ANSI C12.18 is an ANSI Standard that describes a protocol used for two-way communications with a meter, mostly used in North American markets. The C12.18 Standard is written specifically for meter communications via an ANSI Type 2 Optical Port, and specifies lower-level protocol details. ANSI C12.19 specifies the data tables that are used. ANSI C12.21 is an extension of C12.18 written for modem instead of optical communications, so it is better suited to automatic meter reading. ANSI C12.22 is the communication protocol for remote communications.[39]

  • OSGP

The Open Smart Grid Protocol (OSGP) is a family of specifications published by the European Telecommunications Standards Institute (ETSI) used in conjunction with the ISO/IEC 14908 control networking standard for smart metering and smart grid applications. Millions of smart meters based on OSGP are deployed worldwide.[40] On July 15, 2015, the OSGP Alliance announced the release of a new security protocol (OSGP-AES-128-PSK) and its availability from OSGP vendors.[41] This deprecated the original OSGP-RC4-PSK security protocol which had been identified to be vulnerable.[42][43]

  • Meters and More

"Meters and More was created in 2010 from the coordinated work between Enel and Endesa to adopt, maintain and evolve the field-proven Meters and More open communication protocol for smart grid solutions." .[44] In 2010, the Meters and More Association was established to promote the protocol globally, ensuring interoperability and efficiency in power line communication (PLC)-based smart metering systems. Meters and More is an open communication protocol designed for advanced metering infrastructure (AMI). It facilitates reliable, high-speed data exchange over PLC networks, focusing on energy monitoring, demand response, and secure two-way communication between utilities and consumers. Unlike DLMS/COSEM, which is a globally standardized and versatile protocol supporting multiple utilities (electricity, gas, and water), Meters and More is tailored specifically for PLC-based systems, emphasizing efficiency, reliability, and ease of deployment in electricity metering.

There is a growing trend toward the use of TCP/IP technology as a common communication platform for Smart Meter applications, so that utilities can deploy multiple communication systems, while using IP technology as a common management platform.[45][46] A universal metering interface would allow for development and mass production of smart meters and smart grid devices prior to the communication standards being set, and then for the relevant communication modules to be easily added or switched when they are. This would lower the risk of investing in the wrong standard as well as permit a single product to be used globally even if regional communication standards vary.[47]

Server Infrastructure for Smart Meter AMI

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In Advanced Metering Infrastructure (AMI), the server infrastructure is crucial for managing, storing, and processing the large volumes of data generated by smart meters. This infrastructure ensures seamless communication between smart meters, utility providers, and end-users, supporting real-time monitoring, billing, and grid management.

Key Components of AMI Server Infrastructure

Data Concentrator
A Data Concentrator Unit (DCU) aggregates data from multiple smart meters within a localized area (e.g., a neighborhood or building) before transmitting it to the central server. Data concentrators reduce the communication load on the network and help overcome connectivity challenges by acting as intermediaries between smart meters and the head-end system (HES). They typically support communication protocols like IEC 62056, DLMS/COSEM[48]
Head-End System (HES)
The HES is responsible for collecting, validating, and managing data received from data concentrators and smart meters. It serves as the central communication hub, facilitating two-way communication between the smart meters and the utility's central servers. The HES supports meter configuration, firmware updates, and real-time data retrieval, ensuring data integrity and security.[49]
Meter Data Management System (MDMS)
The MDMS is a specialized software platform that stores and processes large volumes of meter data collected by the HES. Key functions of the MDMS include data validation, estimation, and editing, as well as billing preparation, load analysis, and anomaly detection. The MDMS integrates with other utility systems, such as billing, customer relationship management (CRM), and demand response systems, to enable efficient energy management.[50]

Data Analytics

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Data analytics for smart meters leverages machine learning to extract insights from energy consumption data. Key applications include demand forecasting, dynamic pricing, Energy Disaggregation, and fault detection, enabling optimized grid performance and personalized energy management. These techniques drive efficiency, cost savings, and sustainability in modern energy systems.

"Energy Disaggregation, or the breakdown of your energy use based on specific appliances or devices",[51] is an exploratory technique for analyzing energy consumption in households, commercial buildings, and industrial settings. By using data from a single energy meter, it employs algorithms and machine learning to estimate individual appliance usage without separate monitors. Known as Non-Intrusive Load Monitoring (NILM), this emerging method offers insights into energy efficiency, helping users optimize usage and reduce costs. While promising, energy disaggregation is still being refined for accuracy and scalability as part of smart energy management innovations.[52]

Data management

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The other critical technology for smart meter systems is the information technology at the utility that integrates the Smart Meter networks with utility applications, such as billing and CIS. This includes the Meter Data Management system.

It also is essential for smart grid implementations that power line communication (PLC) technologies used within the home over a Home Area Network (HAN), are standardized and compatible. The HAN allows HVAC systems and other household appliances to communicate with the smart meter, and from there to the utility. Currently there are several broadband or narrowband standards in place, or being developed, that are not yet compatible. To address this issue, the National Institute for Standards and Technology (NIST) established the PAP15 group, which studies and recommends coexistence mechanisms with a focus on the harmonization of PLC Standards for the HAN. The objective of the group is to ensure that all PLC technologies selected for the HAN coexist as a minimum. The two leading broadband PLC technologies selected are the HomePlug AV / IEEE 1901 and ITU-T G.hn technologies.[53] Technical working groups within these organizations are working to develop appropriate coexistence mechanisms. The HomePlug Powerline Alliance has developed a new standard for smart grid HAN communications called the HomePlug Green PHY specification. It is interoperable and coexistent with the widely deployed HomePlug AV technology and with the latest IEEE 1901 global Standard and is based on Broadband OFDM technology. ITU-T commissioned in 2010 a new project called G.hnem, to address the home networking aspects of energy management, built upon existing Low Frequency Narrowband OFDM technologies.

Opposition and concerns

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Some groups have expressed concerns regarding the cost, health, fire risk,[54] security and privacy effects of smart meters[55] and the remote controllable "kill switch" that is included with most of them. Many of these concerns regard wireless-only smart meters with no home energy monitoring or control or safety features. Metering-only solutions, while popular with utilities because they fit existing business models and have cheap up-front capital costs, often result in such "backlash". Often the entire smart grid and smart building concept is discredited in part by confusion about the difference between home control and home area network technology and AMI. The (now former) attorney general of Connecticut has stated that he does not believe smart meters provide any financial benefit to consumers,[56] however, the cost of the installation of the new system is absorbed by those customers.

Security

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Smart meters expose the power grid to cyberattacks that could lead to power outages, both by cutting off people's electricity[57] and by overloading the grid.[58] However many cyber security experts state that smart meters of UK and Germany have relatively high cybersecurity and that any such attack there would thus require extraordinarily high efforts or financial resources.[59][60][61] The EU Cyber security Act took effect in June 2019, which includes Directive on Security Network and Information Systems establishing notification and security requirements for operators of essential services.[62]

Through the Smartgrid Cybersecurity Committee, the U.S. Department of Energy published cybersecurity guidelines for grid operators in 2010 and updated them in 2014. The guidelines "...present an analytical framework that organizations can use to develop effective cybersecurity strategies..."[63]

Implementing security protocols that protect these devices from malicious attacks has been problematic, due to their limited computational resources and long operational life.[64]

The current version of IEC 62056 includes the possibility to encrypt, authenticate, or sign the meter data.

One proposed smart meter data verification method involves analyzing the network traffic in real-time to detect anomalies using an Intrusion Detection System (IDS). By identifying exploits as they are being leveraged by attackers, an IDS mitigates the suppliers' risks of energy theft by consumers and denial-of-service attacks by hackers.[65] Energy utilities must choose between a centralized IDS, embedded IDS, or dedicated IDS depending on the individual needs of the utility. Researchers have found that for a typical advanced metering infrastructure, the centralized IDS architecture is superior in terms of cost efficiency and security gains.[64]

In the United Kingdom, the Data Communication Company, which transports the commands from the supplier to the smart meter, performs an additional anomaly check on commands issued (and signed) by the energy supplier.

As Smart Meter devices are Intelligent Measurement Devices which periodically record the measured values and send the data encrypted to the Service Provider, therefore in Switzerland these devices need to be evaluated by an evaluation Laboratory, and need to be certified by METAS from 01.01.2020 according to Prüfmethodologie (Test Methodology for Execution of Data Security Evaluation of Swiss Smart Metering Components).

According to a report published by Brian Krebs, in 2009 a Puerto Rico electricity supplier asked the FBI to investigate large-scale thefts of electricity related to its smart meters. The FBI found that former employees of the power company and the company that made the meters were being paid by consumers to reprogram the devices to show incorrect results, as well as teaching people how to do it themselves.[66] Several hacking tools that allow security researchers and penetration testers verify the security of electric utility smart meters have been released so far.[67]

Health

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Most health concerns about the meters arise from the pulsed radiofrequency (RF) radiation emitted by wireless smart meters.[68]

Members of the California State Assembly asked the California Council on Science and Technology (CCST) to study the issue of potential health impacts from smart meters, in particular whether current FCC standards are protective of public health.[69] The CCST report in April 2011 found no health impacts, based both on lack of scientific evidence of harmful effects from radio frequency (RF) waves and that the RF exposure of people in their homes to smart meters is likely to be minuscule compared to RF exposure to cell phones and microwave ovens.[70] Daniel Hirsch, retired director of the Program on Environmental and Nuclear Policy at UC Santa Cruz, criticized the CCST report on the grounds that it did not consider studies that suggest the potential for non-thermal health effects such as latent cancers from RF exposure. Hirsch also stated that the CCST report failed to correct errors in its comparison to cell phones and microwave ovens and that, when these errors are corrected, smart meters "may produce cumulative whole-body exposures far higher than that of cell phones or microwave ovens."[71]

The Federal Communications Commission (FCC) has adopted recommended Permissible Exposure Limit (PEL) for all RF transmitters (including smart meters) operating at frequencies of 300 kHz to 100 GHz. These limits, based on field strength and power density, are below the levels of RF radiation that are hazardous to human health.[72]

Other studies substantiate the finding of the California Council on Science and Technology (CCST). In 2011, the Electric Power Research Institute performed a study to gauge human exposure to smart meters as compared to the FCC PEL. The report found that most smart meters only transmit RF signals 1% of the time or less. At this rate, and at a distance of 1 foot from the meter, RF exposure would be at a rate of 0.14% of the FCC PEL.[73]

An indirect potential for harm to health by smart meters is that they enable energy companies to disconnect consumers remotely, typically in response to difficulties with payment. This can cause health problems to vulnerable people in financial difficulty; in addition to denial of heat, lighting, and use of appliances, there are people who depend on power to use medical equipment essential for life. While there may be legal protections in place to protect the vulnerable, many people in the UK were disconnected in violation of the rules.[74]

Safety

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Issues surrounding smart meters causing fires have been reported, particularly involving the manufacturer Sensus. In 2012. PECO Energy Company replaced the Sensus meters it had deployed in the Philadelphia, US region after reports that a number of the units had overheated and caused fires. In July 2014, SaskPower, the province-run utility company of the Canadian province of Saskatchewan, halted its roll-out of Sensus meters after similar, isolated incidents were discovered. Shortly afterward, Portland General Electric announced that it would replace 70,000 smart meters that had been deployed in the state of Oregon after similar reports. The company noted that it had been aware of the issues since at least 2013, and they were limited to specific models it had installed between 2010 and 2012.[75] On July 30, 2014, after a total of eight recent fire incidents involving the meters, SaskPower was ordered by the Government of Saskatchewan to immediately end its smart meter program, and remove the 105,000 smart meters it had installed.[76]

Privacy concerns

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One technical reason for privacy concerns is that these meters send detailed information about how much electricity is being used each time. More frequent reports provide more detailed information. Infrequent reports may be of little benefit for the provider, as it doesn't allow as good demand management in the response of changing needs for electricity. On the other hand, widespread reports would allow the utility company to infer behavioral patterns for the occupants of a house, such as when the members of the household are probably asleep or absent.[77] Furthermore, the fine-grained information collected by smart meters raises growing concerns of privacy invasion due to personal behavior exposure (private activity, daily routine, etc.).[20] Current trends are to increase the frequency of reports. A solution that benefits both provider and user privacy would be to adapt the interval dynamically.[78] Another solution involves energy storage installed at the household used to reshape the energy consumption profile.[79][80] In British Columbia the electric utility is government-owned and as such must comply with privacy laws that prevent the sale of data collected by smart meters; many parts of the world are serviced by private companies that are able to sell their data.[81] In Australia debt collectors can make use of the data to know when people are at home.[82] Used as evidence in a court case in Austin, Texas, police agencies secretly collected smart meter power usage data from thousands of residences to determine which used more power than "typical" to identify marijuana growing operations.[83]

Smart meter power data usage patterns can reveal much more than how much power is being used. Research has demonstrated that smart meters sampling power levels at two-second intervals can reliably identify when different electrical devices are in use.[84][85][86][87][88][89][90][91]

Ross Anderson wrote about privacy concerns "It is not necessary for my meter to tell the power company, let alone the government, how much I used in every half-hour period last month"; that meters can provide "targeting information for burglars"; that detailed energy usage history can help energy companies to sell users exploitative contracts; and that there may be "a temptation for policymakers to use smart metering data to target any needed power cuts."[92]

Opt-out options

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Reviews of smart meter programs, moratoriums, delays, and "opt-out" programs are some responses to the concerns of customers and government officials. In response to residents who did not want a smart meter, in June 2012 a utility in Hawaii changed its smart meter program to "opt out".[93] The utility said that once the smart grid installation project is nearing completion, KIUC may convert the deferral policy to an opt-out policy or program and may charge a fee to those members to cover the costs of servicing the traditional meters. Any fee would require approval from the Hawaii Public Utilities Commission.

After receiving numerous complaints about health, hacking, and privacy concerns with the wireless digital devices, the Public Utility Commission of the US state of Maine voted to allow customers to opt-out of the meter change at the cost of $12 a month.[94] In Connecticut, another US state to consider smart metering, regulators declined a request by the state's largest utility, Connecticut Light & Power, to install 1.2 million of the devices, arguing that the potential savings in electric bills do not justify the cost. CL&P already offers its customers time-based rates. The state's Attorney General George Jepsen was quoted as saying the proposal would cause customers to spend upwards of $500 million on meters and get few benefits in return, a claim that Connecticut Light & Power disputed.[95]

Abuse of dynamic pricing

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Smart meters allow dynamic pricing; it has been pointed out that, while this allows prices to be reduced at times of low demand, it can also be used to increase prices at peak times if all consumers have smart meters.[96] Additionally smart meters allow energy suppliers to switch customers to expensive prepay tariffs instantly in case of difficulties paying. In the UK during a period of very high energy prices from 2022, companies were remotely switching smart meters from a credit tariff to an expensive prepay tariff which disconnects supplies unless credit has been purchased. While regulations do not permit this without appropriate precautions to help those in financial difficulties and to protect the vulnerable, the rules were often flouted.[74] (Prepaid tariffs could also be levied without smart meters, but this required a dedicated prepay meter to be installed.) In 2022, 3.2 million people were left without power at some point after running out of prepay credit.[97]

Limited benefits

[edit]

There are questions about whether electricity is or should be primarily a "when you need it" service where the inconvenience/cost-benefit ratio of time-shifting of loads is poor. In the Chicago area, Commonwealth Edison ran a test installing smart meters on 8,000 randomly selected households together with variable rates and rebates to encourage cutting back during peak usage.[98] In Crain's Chicago Business article "Smart grid test underwhelms. In the pilot, few power down to save money.", it was reported that fewer than 9% exhibited any amount of peak usage reduction and that the overall amount of reduction was "statistically insignificant".[98] This was from a report by the Electric Power Research Institute, a utility industry think tank who conducted the study and prepared the report. Susan Satter, senior assistant Illinois attorney general for public utilities said "It's devastating to their plan......The report shows zero statistically different result compared to business as usual."[98]

By 2016, the 7 million smart meters in Texas had not persuaded many people to check their energy data as the process was too complicated.[99]

A report from a parliamentary group in the UK suggests people who have smart meters installed are expected to save an average of £11 annually on their energy bills, much less than originally hoped.[100] The 2016 cost-benefit analysis was updated in 2019 and estimated a similar average saving.[101]

The Australian Victorian Auditor-General found in 2015 that 'Victoria's electricity consumers will have paid an estimated $2.239 billion for metering services, including the rollout and connection of smart meters. In contrast, while a few benefits have accrued to consumers, benefits realisation is behind schedule and most benefits are yet to be realised'[102]

Erratic demand

[edit]

Smart meters can allow real-time pricing, and in theory this could help smooth power consumption as consumers adjust their demand in response to price changes. However, modelling by researchers at the University of Bremen suggests that in certain[which?] circumstances, "power demand fluctuations are not dampened but amplified instead."[103]

In the media

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In 2013, Take Back Your Power, an independent Canadian documentary directed by Josh del Sol was released describing "dirty electricity" and the aforementioned issues with smart meters.[104] The film explores the various contexts of the health, legal, and economic concerns. It features narration from the mayor of Peterborough, Ontario, Daryl Bennett, as well as American researcher De-Kun Li, journalist Blake Levitt,[105] and Dr. Sam Milham. It won a Leo Award for best feature-length documentary and the Annual Humanitarian Award from Indie Fest the following year.

UK roll-out criticism

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In a 2011 submission to the Public Accounts Committee, Ross Anderson wrote that Ofgem was "making all the classic mistakes which have been known for years to lead to public-sector IT project failures" and that the "most critical part of the project—how smart meters will talk to domestic appliances to facilitate demand response—is essentially ignored."[106]

Citizens Advice said in August 2018 that 80% of people with smart meters were happy with them. Still, it had 3,000 calls in 2017 about problems. These related to first-generation smart meters losing their functionality, aggressive sales practices, and still having to send smart meter readings.[107]

Ross Anderson of the Foundation for Information Policy Research has criticised the UK's program on the grounds that it is unlikely to lower energy consumption, is rushed and expensive, and does not promote metering competition. Anderson writes, "the proposed architecture ensures continued dominance of metering by energy industry incumbents whose financial interests are in selling more energy rather than less," and urged ministers "to kill the project and instead promote competition in domestic energy metering, as the Germans do – and as the UK already has in industrial metering. Every consumer should have the right to appoint the meter operator of their choice."[108]

The high number of SMETS1 meters installed has been criticized by Peter Earl, head of energy at the price comparison website comparethemarket.com. He said, "The Government expected there would only be a small number of the first-generation of smart meters before Smets II came in, but the reality is there are now at least five million and perhaps as many as 10 million Smets I meters."[109]

UK smart meters in southern England and the Midlands use the mobile phone network to communicate, so they do not work correctly when phone coverage is weak. A solution has been proposed, but was not operational as of March 2017.[109]

In March 2018 the National Audit Office (NAO), which watches over public spending, opened an investigation into the smart meter program, which had cost £11bn by then, paid for by electricity users through higher bills.[110][111] The National Audit Office published the findings of its investigation in a report titled "Rolling out smart meters" published in November 2018.[112] The report, amongst other findings, indicated that the number of smart meters installed in the UK would fall materially short of the Department for Business, Energy & Industrial Strategy (BEIS) original ambitions of all UK consumers having a smart meter installed by 2020. In September 2019, smart meter rollout in the UK was delayed for four years.[113]

Ross Anderson and Alex Henney wrote that "Ed Miliband cooked the books" to make a case for smart meters appear economically viable. They say that the first three cost-benefit analyses of residential smart meters found that it would cost more than it would save, but "ministers kept on trying until they got a positive result... To achieve 'profitability' the previous government stretched the assumptions shamelessly".[114]

A counter-fraud officer at Ofgem with oversight of the roll-out of the smart meter program who raised concerns with his manager about many millions of pounds being misspent was threatened in 2018 with imprisonment under section 105 of the Utilities Act 2000, prohibiting disclosure of some information relevant to the energy sector, with the intention of protecting national security.[115][116] The Employment Appeal Tribunal found that the law was in contravention of the European Convention on Human Rights.[117]

Main suppliers

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Top ten smart electricity meters suppliers depends on the ranking method[118]

Among them

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See also

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Notes

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References

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Revisions and contributorsEdit on WikipediaRead on Wikipedia
from Grokipedia

A smart meter is an electronic device used by utilities to measure and record the consumption of , , or at short intervals, typically hourly or less, and to communicate this data automatically to the provider via wired or networks for purposes including billing, , and outage detection.
Unlike conventional analog meters requiring manual reading, smart meters facilitate between the consumer's premises and the utility, enabling features such as remote updates, time-of-use pricing to incentivize load shifting, and real-time alerts for service disruptions or equipment faults. This supports broader objectives by providing granular data for optimizing energy distribution and integrating renewable sources, with global installations reaching 1.06 billion units by the end of 2023 and exceeding 80% penetration for in . Proponents cite empirical benefits including operational efficiencies for utilities—such as reduced meter-reading labor and faster outage response—and consumer-level savings through usage feedback, potentially lowering household consumption by several percent when paired with . However, deployment has sparked controversies over risks from detailed consumption profiles that could infer household behaviors, as well as unsubstantiated claims of health effects from low-level radiofrequency emissions, with peer-reviewed assessments and regulatory reviews consistently finding no confirmed non-thermal biological impacts at exposure levels below established safety guidelines. Additional debates center on net economic value, as upfront installation costs—often borne by ratepayers—may not always yield commensurate long-term savings amid variable grid modernization needs.

Overview

Definition and Core Functionality

A smart meter is an electronic device that measures and records consumption of , gas, or in near real-time intervals, typically every 15 to 60 minutes, enabling automated data transmission to providers via integrated communication modules. This distinguishes smart meters from traditional electromechanical or basic electronic meters by incorporating bidirectional communication capabilities, which allow utilities to remotely access usage data, monitor system status, and issue commands such as disconnection or updates. Core functionalities revolve around advanced metering infrastructure (AMI) integration, where smart meters serve as endpoints in a networked system that collects granular energy parameters—including voltage, current, , and total kWh consumption—and forwards them to central systems for processing. Key operations include remote meter reading to reduce manual inspections, automatic outage detection by reporting last-gasp signals during power loss, and support for time-of-use pricing through timestamped interval data. These features enable utilities to perform by signaling load control during peak periods and provide consumers with detailed usage insights via in-home displays or apps. Smart meters also incorporate tamper detection and diagnostic self-testing to ensure measurement accuracy and security, logging events like unauthorized access or metering faults for utility review. While primarily focused on residential and commercial applications, their design supports scalability for integration with distributed energy resources, such as solar panels, by netting exported generation against consumption in real time. Overall, the core design emphasizes reliability in data collection and transmission using protocols like Zigbee or cellular networks, though implementation varies by jurisdiction and utility standards.

Distinction from Analog Meters

Smart meters fundamentally differ from analog meters in their , handling, and communication capabilities. Analog meters, typically electromechanical devices, use a rotating disc or mechanical dials driven by currents induced in a metal disc to register cumulative consumption over time. These require manual physical inspection by personnel to read the totalized usage from visual indicators, often monthly. In contrast, smart meters employ solid-state electronic sensors, such as or current transformers, to digitally measure voltage, current, and in real-time or near-real-time intervals, commonly 15 to 60 minutes. This granular data capture enables time-of-use billing, load profiling, and detection of minute consumption like or leakage currents that analog meters often overlook due to mechanical limitations. Communication represents another key divergence: analog meters lack any transmission mechanism, relying solely on on-site reading, whereas smart meters integrate two-way wireless or power-line carrier networks for automated remote and utility-to-meter signaling. This allows functions like outage notifications, updates, and demand-response commands without human intervention. Regarding accuracy and durability, analog meters can degrade from mechanical wear, friction, or environmental factors, potentially leading to slowed rotation or "creep" errors over years of service. Smart meters, being electronic with no , offer higher precision—often certified to standards like ANSI C12.20 Class 0.5 (0.5% )—and resistance to such degradation, though they introduce potential for software or calibration issues. Empirical studies indicate smart meter deployments correlate with increased detected usage, attributed to capturing previously unmeasured low-level loads rather than systematic over-reading.

Historical Development

Invention and Early Prototypes (1970s–1990s)

The foundational for remote metering emerged in 1972 when Theodore Paraskevakos, a Greek-American engineer employed by in , invented a sensor-driven system capable of digitally encoding and transmitting consumption data from meters via existing telephone lines, enabling to access usage information without physical visits. This approach addressed inefficiencies in manual meter reading amid rising energy costs following the and deregulation pressures. Paraskevakos received U.S. Patent No. 3,842,208 in 1974 for the sensor monitoring device, which formed the basis for automated data retrieval applicable to , gas, and other . By 1977, Paraskevakos established Metretek, Inc., which manufactured and deployed the first operational prototypes of these early smart meters—essentially one-way automated meter reading (AMR) systems—in commercial pilots for Peoples Gas in and Illinois Power in , demonstrating remote data polling over phone lines with accuracy sufficient to reduce estimated billing errors. These prototypes integrated basic electronic registers with modems, marking a shift from electromechanical analog meters to digital interfaces, though limited by dependency on customer phone access and lack of real-time two-way communication. Concurrently, utilities like Washington Water Power began field-testing complementary handheld AMR devices, such as Itron's Datameter in 1978, which used portable encoders to capture from existing meters via drive-by (RF) collection. Throughout the and into the , prototypes evolved toward RF-based AMR modules retrofitted onto legacy meters, enabling drive-by or walk-by readings to cut labor costs amid ongoing that intensified competition and billing disputes for U.S. utilities. Innovations included low-power RF transmitters for periodic data bursts, as piloted by companies like (now ) and Aclara, which tested systems transmitting kWh intervals over short ranges to mobile collectors, achieving deployment in select municipal networks by the late 1980s. By the early , experimental power line carrier (PLC) prototypes overlaid digital signals on existing for neighborhood-level , foreshadowing advanced metering (AMI), though adoption remained limited to pilots due to high retrofit costs and signal interference challenges. These developments prioritized one-way efficiency over bidirectional control, reflecting causal constraints of analog-era rather than full grid interactivity.

Commercial Expansion and Policy-Driven Rollouts (2000s–Present)

Italy led commercial expansion of smart meters in the early 2000s, with launching a nationwide rollout of 36.7 million units between 2001 and 2011 under its Telegestore system, marking one of the first large-scale deployments globally. This initiative demonstrated the feasibility of remote metering for utility efficiency, predating widespread policy mandates and influencing subsequent adoptions in . Concurrently, companies like expanded into metering through acquisitions, such as Itron's purchase of in 2004, enabling broader commercial supply chains. In the United States, policy-driven acceleration occurred via the American Recovery and Reinvestment Act (ARRA) of 2009, which allocated $3.4 billion in Investment Grants, resulting in the installation of approximately 16 million smart meters by 2016. Prior to ARRA, only 9.6 million smart meters were deployed nationwide as of 2009, highlighting the stimulus's catalytic role in scaling infrastructure amid economic recovery efforts. Utilities like those funded under ARRA programs adopted advanced metering infrastructure (AMI) from vendors such as and , integrating two-way communication for . European rollouts gained momentum through EU directives, including the 2009 Third Energy Package and the 2012 Energy Efficiency Directive, which required member states to assess and pursue at least 80% coverage for consumers where cost-beneficial. By 2023, smart penetration in reached 60%, up from 50% in 2019, with countries like achieving near-universal coverage early and others like the mandating completion by 2028 via the Energy Act 2023. In , regulatory reforms by the Australian Commission targeted 100% rollout by 2030, building on earlier pilots to enable time-of-use pricing and grid stability. Globally, smart meter installations totaled 1.06 billion units (electricity, gas, and water) by the end of 2023, with electricity meters achieving 43% penetration of the market. Forecasts project over 76% penetration in and by 2027, driven by ongoing policy incentives and utility investments exceeding €47 billion in the alone for 266 million deployments by 2030. These expansions have prioritized AMI integration for , though deployment paces vary due to national regulatory and infrastructural differences.

Technical Architecture

Hardware Components and Design

Smart meters feature a modular hardware architecture centered on precise electrical , , and bidirectional communication, housed in rugged enclosures compliant with standards such as IEC 62053 for accuracy classes (e.g., Class 0.2 or 0.5 for active metering). The primary components include a unit with current and voltage sensors—such as Hall-effect or (CT) sensors for non-intrusive current detection up to 100A or more, and voltage dividers for line voltages—and analog-to-digital converters (ADCs) sampling at rates exceeding 1 kHz to enable real-time waveform analysis and detection. The processing core relies on a microcontroller unit (MCU) or system-on-chip (SoC), often based (e.g., NXP KM35Z512 with integrated peripherals), executing for energy accumulation algorithms, power quality metrics (voltage sags, THD), and event logging with (EEPROM or flash) capacities of 1-32 MB for tamper-proof . A (RTC) synchronized via ensures timestamp accuracy within seconds per day, while security modules incorporate hardware (AES-128/256) and root-of-trust mechanisms to prevent unauthorized modifications. Communication hardware integrates modules supporting protocols like , power-line carrier (PLC), or cellular (e.g., NB-IoT), with RF transceivers operating in sub-1 GHz bands for up to several kilometers, featuring power amplifiers and antennas optimized for low-power operation (transmit power ~20 dBm). Power supply units derive stable 3.3V/5V rails from the mains via switched-mode converters with battery backups (e.g., lithium cells lasting 10+ years) for outage detection and last-gasp messaging. User interfaces often include LCD displays showing cumulative kWh, instantaneous demand, and alerts, alongside mechanical tamper switches and magnetic sensors for .
  • Key Design Considerations: Hardware emphasizes low power consumption (<1W idle), electromagnetic compatibility (EMC) per IEC 61000, and environmental resilience (IP67-rated enclosures operating from -40°C to 85°C) to withstand utility deployment rigors.
  • Scalability: Modular designs allow integration of add-ons like gas/water interfaces via auxiliary ports, supporting polyphase configurations for three-phase systems with multiple CT inputs.

Communication Protocols and Networks

Smart meters employ a range of communication protocols and networks to enable bidirectional exchange within advanced metering (AMI), facilitating remote meter reading, , and grid monitoring while prioritizing low-power operation and reliability over existing . These systems typically operate across layered architectures, including home area networks (HAN) for in-home device integration, field area networks (FAN) for aggregation between meters and data concentrators, and wide area networks (WAN) for headend connectivity. Common physical and technologies include (PLC), (RF) mesh, and cellular networks, selected based on factors such as deployment , availability, and volume requirements. At the , the Device Language Message Specification (DLMS)/Companion Specification for Energy Metering (COSEM), standardized under , serves as a dominant protocol for secure, interoperable data exchange between smart meters and utility systems, supporting features like and object-oriented modeling of metering data. Adopted globally since its formalization in the early , DLMS/COSEM enables compatibility across vendors and has been mandated in regions like for AMI rollouts, reducing integration costs by up to 30% through standardized messaging. Complementary standards, such as , define utility-specific metering communication at the application layer, including end-device data tables for consistent reporting. For physical transmission, PLC leverages existing electrical wiring to modulate signals over power lines, avoiding separate infrastructure and achieving ranges up to several kilometers in low-voltage networks, though susceptible to from appliances. RF-based networks, often using -compliant topologies, enable relaying among meters for robust coverage in urban deployments, with frequencies in the 400-900 MHz bands to minimize interference. , a low-power protocol built on , predominates in HAN segments for connecting meters to in-home displays or appliances, supporting rates up to 250 kbps and self-healing configurations certified under Zigbee Smart Energy profiles since 2008. Cellular technologies, including narrowband IoT (NB-IoT) and LTE Category M1 (LTE-M), provide WAN backhaul for remote or sparse deployments, offering licensed spectrum reliability and global coverage with power consumption optimized for battery life exceeding 10 years. Deployed increasingly since 2017, these support protocols like MQTT over TCP/IP for efficient, low-bandwidth AMI telemetry, with NB-IoT enabling penetration through building materials for indoor meters. Hybrid approaches, combining RF mesh for FAN with cellular WAN, have gained traction in recent U.S. and European upgrades, enhancing latency to under 15 seconds for outage notifications as of 2023 implementations. Interoperability challenges persist due to regional variations, with over 110 standards identified for smart meter communications as of 2012, prompting efforts like Europe's CEN-CENELEC-ETSI coordination for unified profiles. Recent advancements through 2025 emphasize secure protocols with lightweight , such as in proposed SRAMI frameworks, to mitigate vulnerabilities in AMI networks amid rising cyber threats.

Advanced Metering Infrastructure (AMI) Integration

Advanced Metering Infrastructure (AMI) integrates into a cohesive that facilitates between customer premises and utility control centers, evolving from one-way Automated Meter Reading (AMR) systems to enable exchange and remote operations. This integration encompasses equipped with communication modules, wide-area networks for transmission, and backend for processing, typically structured in a multi-tiered including Area Networks (HAN) for in-home devices, Neighborhood Area Networks (NAN) for local aggregation, and Wide Area Networks (WAN) for utility connectivity. The core functionality relies on protocols such as for HAN, power-line carrier (PLC) or radio frequency (RF) mesh for NAN, ensuring secure, reliable flow from meters to data concentrators and head-end . Key components of AMI integration include the smart meter's embedded for outbound interval data (e.g., every 15-60 minutes) and inbound commands like remote disconnects or updates, interfaced via Meter Data Management Systems (MDMS) that validate, store, and route data to utility enterprise systems such as Customer Information Systems (CIS). Integration standards, including ANSI C12.22 for multi-utility communications and IEEE 2030 for interoperability, ensure compatibility across vendors, mitigating fragmentation in deployments. For instance, in U.S. Department of Energy evaluations, AMI systems have demonstrated capabilities for power quality monitoring and distribution automation, with meters acting as distributed sensors for voltage and outage detection.
AMI LayerPrimary ComponentsIntegration Role
Meter LayerSmart meters with RF/PLC modulesData acquisition and local processing; interface to HAN for appliance signals
Communication LayerNAN (mesh/RF), WAN (cellular/fiber backhaul)Aggregates meter data via collectors; enables bidirectional control signals
Data Management LayerMDMS, head-end systemsProcesses, stores, and analyzes data; integrates with utility billing and systems
Challenges in AMI-smart meter integration include ensuring cybersecurity through (e.g., AES-128) and to prevent unauthorized access, as vulnerabilities in communication stacks can expose grids to attacks, though peer-reviewed analyses emphasize robust protocol implementations for resilience. Deployment examples, such as National Grid's 2023 AMI rollout with initial electric-only installations, highlight phased integration to test network reliability before full-scale adoption. Overall, AMI integration transforms smart meters from passive recorders to active grid endpoints, supporting advanced applications like without manual intervention.

Operational and Economic Benefits

Utility Efficiency and Cost Reductions

Smart meters enable utilities to automate meter reading processes, eliminating the need for manual site visits that traditionally account for a significant portion of operational expenses. This remote capability, facilitated by advanced metering infrastructure (AMI), allows for frequent and accurate billing without physical intervention, reducing labor costs associated with field personnel deployment. For instance, utilities have reported substantial savings from decreased meter reading and activities following AMI adoption. Empirical analyses demonstrate that smart meter deployments improve overall system efficiency by minimizing electricity losses, including non-technical losses such as theft and metering errors, through enhanced measurement accuracy and real-time monitoring. A study examining AMI implementation across multiple utilities found that smart meters decreased losses by 4-7% and increased revenue recovery by 1-2%, primarily via better detection of unmetered consumption and improved distribution . Similarly, on public utilities indicated that smart meter enhances distribution efficiency, leading to direct revenue gains for providers by optimizing and reducing operational inefficiencies. Additional cost reductions stem from accelerated outage detection and response, as smart meters provide utilities with granular, near-real-time data on service interruptions, enabling quicker restoration and fewer prolonged disruptions. In one documented case, a utility in , achieved over $2 million in AMI-related cost savings in 2012 alone, attributed to streamlined operations including remote connects/disconnects and reduced fieldwork. These efficiencies collectively lower capital and operational expenditures over time, though initial rollout costs can delay net benefits depending on deployment scale and integration.

Consumer-Level Advantages and Empirical Outcomes

Smart meters enable residential consumers to access detailed, near-real-time data on and gas usage through in-home displays (IHDs) or online portals, facilitating informed decisions to shift consumption patterns and reduce overall . This granular visibility contrasts with analog meters, which provide only cumulative monthly readings, often leading to averaged billing that obscures peak usage inefficiencies. Empirical evaluations indicate that such feedback mechanisms can yield measurable reductions in ; for instance, a involving real-time monitors linked to smart meter reported a 2.2% decrease in electricity use and a 6.9% reduction in gas consumption among participating . Additional consumer benefits include automated meter reading, which eliminates estimated bills and manual inspections, thereby improving billing accuracy and reducing disputes over charges. This transition to actual readings, coupled with smart meters' superior accuracy in capturing usage compared to aging analog meters that may slow down and underreport, can lead to higher bills for some households post-installation, as they reflect previously unmeasured consumption rather than inherent over-reading. Smart meters also support early detection of anomalies, such as continuous low-level gas leaks or appliance malfunctions, allowing prompt intervention to avert waste or hazards. In practice, utilities report faster outage notifications from , enabling quicker restoration times for affected households; data from U.S. deployments show average outage durations shortened by up to 20-50% in equipped areas due to remote diagnostics. However, realized savings depend heavily on consumer engagement and complementary tools like IHDs or time-of-use tariffs. Systematic reviews of empirical studies reveal average household electricity savings of 3-5% from smart meter feedback alone, with higher reductions (up to 10%) when paired with behavioral nudges or , though effects often diminish after 6-12 months without sustained interaction. A study of high-resolution feedback post-installation found heterogeneous outcomes, with only engaged households achieving persistent conservation, averaging 4-7% load reductions during peak hours. In regions without mandatory IHD provision, such as parts of the U.S. and , standalone smart meters have shown negligible to modest bill impacts (1-2% annually), underscoring that technological capability alone does not guarantee behavioral change.

Broader Grid and Energy System Enhancements

Smart meters contribute to broader grid enhancements by supplying high-resolution, through advanced metering (AMI), enabling precise monitoring of voltage, , and load distribution across the network. This data supports state estimation and control mechanisms, such as on-load tap-changer adjustments to mitigate over- or undervoltages, thereby improving overall grid stability. In outage management, smart meters facilitate rapid fault detection via abnormal consumption patterns or voltage anomalies, allowing operators to pinpoint issues and initiate self-healing responses, which reduces downtime compared to manual reporting systems. Empirical applications demonstrate their role in verifying outage extents through coordinated meter pings, enhancing restoration efficiency in distribution networks. Demand response capabilities are amplified by smart meter data, which enables utilities to implement price- or incentive-based programs for load shifting, such as deferring charging to off-peak periods, thereby flattening demand curves and averting potential blackouts during high-load events. This integration reduces pressures and optimizes , with studies showing measurable improvements in grid reliability through data-driven demand-side management. For integration, smart meters provide granular insights for forecasting variable generation from sources like and , supporting optimal placement of and coordination with distributed generators to maintain balance. High-resolution data aids in managing , increasing renewable penetration while minimizing grid stress; for instance, applications in low-voltage networks have achieved up to 10% reductions in energy losses via enhanced optimization. These enhancements collectively defer the need for extensive new by maximizing existing .

Implementation and Global Deployment

Major Regional Rollouts and Statistics

In the United States, electric utilities deployed approximately 119 million advanced metering infrastructure (AMI) systems by 2022, achieving a penetration rate of 72% across total electric meters. By 2023, this figure rose to around 128 million installations, with residential penetration surpassing 70% and overall North American smart electricity meter penetration reaching 82% in 2024 amid declining annual shipments from a peak of 18.4 million units. These deployments were concentrated in states with regulatory mandates, such as and , though provisions in some areas limited full saturation. In the , the mandatory rollout under the Department for Energy Security and Net Zero reached 39 million smart and advanced meters by March 2025, with 35 million operating in smart mode, covering 67% of total meters. Domestic smart mode penetration stood at 66%, while gas lagged at 56%, reflecting persistent connectivity issues and resistance that have delayed the original 2025 target for 100% coverage, now deemed unattainable without policy extensions to 2030. Non-domestic sites achieved 64% smart functionality by Q2 2025. Across the , smart electricity meter penetration averaged 63% by the end of 2024, up from 50% in 2019, though rates varied widely by member state with over 80% in early adopters like and but below 50% in others such as and . Smart adoption reached 45% in 2023, projected to hit 62% by 2028, driven by directives mandating 80% electricity coverage where cost-effective but hampered by uneven national implementations and data privacy regulations. In , completed its nationwide smart rollout by 2024, contributing to a regional total exceeding 900 million connected units and a 49% penetration rate in 2023, with also achieving near-full deployment for its 86 million customers ahead of its 2025 target. Annual tenders in stabilized at 65-70 million units post-rollout. Australia's National Electricity Market recorded 7.3 million remotely read smart meters by late 2024, equating to 57% penetration, with state variations from 39% in Tasmania to higher in Victoria; federal reforms aim for mandatory 100% rollout by 2030 to enable time-of-use tariffs and grid stability.
RegionElectricity PenetrationApproximate Units (millions)YearNotes
United States76-82%119-1282022-2024Residential focus; opt-outs in some states
United Kingdom67%392025Includes gas; smart mode lower than installed
European Union63%N/A2024Varies by country; gas at 45%
China~100%Part of 900+ (Asia-Pacific)2024Nationwide completion
Australia (NEM)57%7.32024Targeting 100% by 2030
In 2023, smart meter technologies advanced through deeper integration of (AI) and (ML) for , enabling utilities to forecast energy demand and detect anomalies in consumption patterns more accurately. These enhancements allowed for real-time processing at , reducing latency in data transmission from meters to central systems and supporting proactive grid management. By 2024, adoption of connectivity emerged as a key trend, facilitating higher bandwidth for in advanced metering (AMI), which improved remote updates and integration with distributed energy resources like solar panels. Cybersecurity protocols were bolstered with techniques, where smart meters train local ML models for threat detection without sharing raw data, mitigating risks of centralized breaches in environments. This addressed vulnerabilities such as denial-of-service attacks and data manipulation, which had been highlighted in prior analyses of AMI systems. In 2025, the transition toward AMI 3.0 gained momentum, incorporating features like enhanced for multi-utility metering (, gas, ) and AI-driven optimization for curtailment prevention, though full deployments remained in early stages among select utilities. Cloud-based platforms proliferated, enabling scalable for non-technical loss detection and , with market reports noting a exceeding 14% for such systems through 2034. These developments prioritized standards to counter fragmentation in legacy deployments, while emphasizing to handle increasing data volumes from IoT-enabled meters without overwhelming core networks.

Criticisms and Concerns

Health and RF Exposure Claims

Smart meters emit radiofrequency (RF) electromagnetic fields during wireless communication bursts, typically operating in the 902–928 MHz or 2.4 GHz bands with power outputs ranging from 0.1 to 1 watt and duty cycles under 1% of the time, resulting in average exposure levels far below established safety guidelines such as those from the FCC (maximum permissible exposure of 0.57 mW/cm² at 900 MHz for general population) and ICNIRP (2 W/m² or 0.2 mW/cm² averaged over 10–30 minutes). Empirical measurements indicate that peak exposures at 1 meter from a smart meter are often less than 0.01% of FCC limits, with a safety margin exceeding 22,000-fold when accounting for thermal effects, comparable to or lower than background RF from cell phones or Wi-Fi routers. Health claims primarily center on alleged non-thermal effects, including symptoms attributed to (EHS) such as headaches, fatigue, and sleep disturbances, as well as risks of cancer or neurological damage; however, peer-reviewed studies and systematic reviews find no causal link, with self-reported symptoms failing to correlate with actual RF exposure in double-blind provocation tests. A of 22 studies on EMF exposure and non-specific symptoms in the general population showed no significant association, attributing perceived effects to responses rather than physiological causation. Reviews by bodies like the government and California Council on Science and Technology conclude that smart meter RF does not pose health risks, as exposures remain well within guidelines designed to prevent thermal tissue heating, the only established adverse effect from RF fields. Critics, often citing anecdotal reports or select in vitro studies on pulsed RF, argue for potential bioeffects like oxidative stress or DNA damage at non-thermal levels, but these claims lack replication in human epidemiological data and are contradicted by large-scale analyses showing no increased cancer incidence near RF sources akin to smart meters. EHS, proposed as a sensitivity to low-level RF, is not recognized as an EMF-induced condition by major health organizations, with blinded studies demonstrating that affected individuals cannot distinguish exposure from sham conditions at rates better than chance. While some advocacy sources highlight pulsed emissions from smart meters as uniquely harmful, dosimetry models confirm whole-body exposures remain negligible compared to continuous sources like mobile phones, with no verified non-thermal health impacts in deployed populations exceeding millions since 2010. Regulatory bodies such as the FCC and ICNIRP maintain that current limits, updated in 2020 to incorporate recent data, provide adequate protection against all identified effects, though calls for precautionary reductions persist amid unresolved debates over long-term low-dose chronic exposure.

Privacy, Data Security, and Real-World Vulnerabilities

Smart meters transmit granular, time-series on household energy consumption, enabling non-intrusive load monitoring (NILM) algorithms to disaggregate aggregate usage into specific appliance activities, such as identifying when televisions, refrigerators, or electric vehicles are in operation. This level of detail can reveal occupancy patterns, daily routines, and even absences from home, posing risks of surveillance-like inferences by unauthorized parties. Empirical studies confirm that fine-grained consumption profiles exhibit high uniqueness across households, directly linking them to threats when is exposed or aggregated. Consumer surveys indicate that only about 24% report low concerns regarding smart meter , with worries mediating resistance to related technologies like . Data security in smart meters often relies on outdated protocols with insufficient , , or protections, exposing systems to , replay attacks, and remote execution. Vulnerabilities in network interfaces, APIs, and communication stacks—such as or power-line carrier systems—allow adversaries to intercept unencrypted transmissions, manipulate meter readings, or inject , potentially altering billing or disrupting reporting. Common threats include denial-of-service (DoS) attacks that overwhelm low-bandwidth channels, tampering to enable , and unauthorized access via physical tampering or compromised backends. Advanced persistent threats, including AI-driven attacks, exploit these weaknesses to achieve broader grid impacts, such as synchronized demand oscillations leading to instability. Independent analyses highlight that many deployments prioritize cost over robust cybersecurity, with protocol exploits feasible via low-cost tools. Real-world incidents underscore these risks: in Puerto Rico starting in 2009, organized hackers reprogrammed thousands of smart meters to underreport usage by up to 90%, resulting in annual losses exceeding hundreds of millions of dollars for utilities. Experimental evaluations have demonstrated that targeted cyberattacks can cause smart meters to cease data reporting entirely or falsify outputs, evading detection in operational environments. Laboratory and simulation studies further show feasibility of grid destabilization, where coordinated manipulation of meters induces frequency oscillations, potentially cascading to blackouts without physical access. While utilities often implement tamper detection, such as logging unauthorized access, these measures have proven insufficient against sophisticated, low-bandwidth exploits in deployed systems. Peer-reviewed mappings of threats emphasize that unpatched and shared credentials amplify vulnerabilities across large-scale rollouts.

Reliability, Cost, and Other Operational Drawbacks

Smart meters exhibit higher failure rates compared to traditional electromechanical meters due to their complex integration of hardware, software, and communication components. In , the overall for smart meter fleets reached approximately 5% in 2024, with meters exceeding 15 years of age showing elevated risks, prompting mass replacement plans for aging installations from the 2009-2014 rollout period. Internationally, utilities such as in reported failure rates rising to about 5% by 2024, while PG&E and SCE in observed around 2% for meters aged 14-17 years, and in noted 1-2% as units neared their 15-year design life. Predominant failures involve functional elements like clock batteries, capacitors, and displays rather than core , though communication modules can also contribute to downtime. Deployment and operational costs for smart meters often exceed initial projections, encompassing high upfront installation expenses, ongoing maintenance, and premature replacements. In the United States, advanced metering projects have reported total installation costs surpassing $600 per meter, including hardware, labor, and integration. Australia's Victoria region anticipates $920 million in expenditures for replacing approximately 2.5 million meters between 2026 and 2031, driven by escalating rates and regulatory needs for enhanced features like processing. IT and challenges have further inflated costs through delays, as seen in various global rollouts where communication and backend upgrades add substantial overhead. Reactive handling proves more expensive than proactive mass replacements, with utilities justifying bulk programs to mitigate service disruptions and billing errors. Other operational drawbacks include instances of billing inaccuracies and intermittent service quality. In the , approximately 4.3 million smart meters operated in "dumb" mode as of 2024, reverting to manual reads due to communication failures and resulting in disputed or estimated bills for affected households. Some meter models have recorded readings up to six times higher than actual consumption, prompting investigations into calibration and issues. Consumer reports of bill increases following smart meter installation are often due to the greater accuracy of digital metering compared to aging analog meters, which can slow down and under-register usage, rather than systematic over-reading. Installation processes can cause short-term outages or voltage fluctuations, particularly in developing regions where initial post-deployment service quality temporarily declines before stabilizing. These issues necessitate frequent field interventions, increasing utility workloads and consumer complaints over unreliable remote monitoring capabilities.

Mitigations, Regulations, and Future Outlook

Technical and Policy Responses to Concerns

Technical measures to address radiofrequency (RF) exposure concerns from smart meters focus on minimizing emissions through low-power, intermittent transmissions rather than continuous signaling, with duty cycles often below 1% to limit cumulative exposure. Empirical measurements indicate that peak RF levels from smart meters range from 0.5 to 8 volts per meter at one meter distance, translating to power densities of approximately 0.0006 to 0.005 mW/cm²—orders of magnitude below the FCC's maximum of 1 mW/cm² for general population uncontrolled environments. These designs incorporate directional antennas and shielding to further reduce unintended radiation, ensuring compliance with IEEE C37.90 standards for . Policy responses include mandatory adherence to FCC RF emission guidelines, which are enforced through certification processes requiring pre-deployment testing, alongside public health reviews by agencies like the that affirm no established non-thermal health risks at these levels based on epidemiological data. For privacy and vulnerabilities, technical mitigations emphasize using standards such as AES-256 for data in transit and at rest, coupled with protocols to prevent unauthorized access during meter-to-headend communications. Recent advancements include schemes that allow computations on encrypted consumption data without decryption, preserving user privacy while enabling utility aggregation for grid management, as demonstrated in protocols reducing disclosure risks by up to 90% in simulated high-frequency metering scenarios. Secure key management systems, often integrated via hardware security modules (HSMs) in meters, address real-world exploits like those in DLMS/COSEM protocols by incorporating over-the-air firmware updates for vulnerability patching, with post-2023 deployments showing improved resistance to man-in-the-middle attacks. Policy frameworks mandate these via regulations such as the EU's NIS2 Directive and U.S. NISTIR 7628 guidelines, requiring utilities to conduct regular penetration testing and report breaches, though implementation varies, with some jurisdictions like enforcing data minimization rules to limit granular household profiling. Reliability concerns are countered technically through redundant communication pathways—combining RF mesh networks with power-line carrier backups—and self-diagnostic algorithms that detect faults in real-time, reducing outage detection times from days to minutes as evidenced in deployments covering over 100 million U.S. meters by 2023. Cost-related responses involve lifecycle analyses showing net savings from reduced manual reads and detection, with initial of $100–$200 per meter offset by operational efficiencies yielding 5–10% grid loss reductions, per reports. Policy measures include rate recovery mechanisms under the U.S. , allowing utilities to surcharge customers (e.g., $2–$5 monthly) for deployments while providing federal grants for upgrades, and mandatory accuracy testing protocols that have verified error rates below 0.5% in certified devices. These approaches prioritize empirical validation over anecdotal failures, with ongoing regulatory audits addressing isolated hardware issues through accelerated replacement programs.

Regulatory Frameworks and Opt-Out Provisions

In the United States, smart meter deployment is regulated at the state level by commissions, with no federal mandate for installation, allowing significant variation in policies. This variation extends to opt-out eligibility by building type; in multi-unit dwellings such as apartments, individual tenants typically cannot opt out independently, as decisions often rest with landlords or building owners, especially for shared or banked meters, and some utilities exclude multi-family housing entirely from opt-out programs (e.g., SMUD excludes apartments and meter-banked locations). In condominiums with separate meters, individual owners may opt out, subject to HOA or building rules, though customers should check with local utilities for specific eligibility and fees. As of 2019, at least seven states, including , had enacted opt-out provisions permitting residential customers to refuse advanced metering infrastructure (AMI) smart meters, often reverting to manual analog readings. pioneered permanent opt-out options effective April 2012 via the , though utilities commonly impose monthly fees ranging from $10 to $26 for non-communicating meters to cover manual reading costs. Some utilities in states like and New York prohibit opt-outs for certain customers, citing operational efficiencies, while recent legislative efforts, such as Pennsylvania's SB 600 introduced in 2025, propose fee-free opt-outs and penalties for non-compliant utilities. Federal oversight through the addresses radiofrequency emissions under existing safety standards but does not compel installations or broadly restrict opt-outs. In the European Union, regulatory frameworks emphasize harmonized rollout under Directive (EU) 2019/944, which revises earlier rules to promote smart metering for energy efficiency and , requiring member states to ensure economic viability and consumer benefits before widespread deployment. Privacy and data protection are addressed through GDPR compliance and specific measures in the , treating smart meters as terminal equipment subject to data minimization and consent rules, though provisions are not uniformly mandated and depend on national implementation. Implementing Regulation 2023/1162 mandates to metering data by mid-2025 to prevent and foster , prioritizing grid stability over individual refusals. Rollout progress varies, with regulators like ACER-CEER in 2024 urging acceleration to overcome barriers like slow adoption, but without explicit EU-wide rights, focusing instead on safeguards. In the , the Department for Energy Security and Net Zero oversees smart metering via the Smart Metering Implementation Programme, with suppliers required under the National Rollout Objective to install functional smart meters in all feasible domestic and small non-domestic premises by targets extended to 74.5% coverage by end-2025. Ofgem enforces standards through license conditions, introducing in 2025 enhanced compensation for installation delays or faults exceeding 10 days, up to £500 per incident, alongside requirements for non-smart functionality as a fallback if communications fail. Opt-outs are not formally enshrined but permitted where installation is deemed unreasonable, such as in remote areas, though suppliers must take "all reasonable steps" to comply, reflecting a policy shift toward mandatory functionality post-2025 without fee-free refusal options. Australia's framework, governed by the Australian Energy Regulator, phases out opt-out rights effective June 1, 2025, mandating smart meter installations for all customers by 2030 under national energy market rules to enable time-of-use and grid modernization. Consumers retain the right to request disabling of remote communications features, but retailers may charge ongoing fees for manual readings or reduced functionality, with no on installation itself. In , provincial regulators like those in and allow opt-outs with fees similar to U.S. models, though Quebec's mandates smart meters without opt-out since 2018 deployments, prioritizing network reliability over individual choice. These variations highlight a global trend toward compelled adoption for systemic benefits, tempered by localized provisions addressing and cost concerns where political or legal pressures arise.

Emerging Innovations and Market Projections

Emerging innovations in smart metering technology focus on enhancing connectivity, analytics, and security to support advanced grid operations. Adoption of and low-power wide-area networks (LPWAN) is expanding communication capabilities, enabling more reliable two-way data exchange between meters and utilities. Integration of (AI) and (ML) facilitates real-time insights, , and , reducing operational risks in smart grids. and TinyML in second-generation meters allow on-device processing, minimizing latency and bandwidth demands while supporting local decision-making. Security enhancements incorporate hybrid AI-blockchain frameworks to mitigate cyber vulnerabilities in components, including meters, by enabling tamper-proof data logging and decentralized . Bi-directional metering innovations, such as those in flexible platforms like Globy, promote (V2G) integration and optimization. These developments address prior concerns over reliability and by embedding advanced and directly into metering hardware and software stacks. Market projections forecast robust growth driven by regulatory mandates and grid modernization efforts. The global smart meter market is estimated at USD 26.36 billion in 2024, projected to reach USD 46.14 billion by 2030, reflecting a (CAGR) of 9.8%. In unit terms, installations are expected to increase from 173.29 million in 2025 to 257.62 million by 2030, with an 8.25% CAGR, primarily in ing. anticipates second-wave rollouts, with smart penetration rising from 82% in 2024 to over 91% by 2030, supported by upgrades to advanced metering infrastructure (AMI). These trends hinge on sustained investment in interoperable technologies amid increasing demand for energy efficiency and .

References

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