IEEE Organizations related to Meters

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Conferences related to Meters

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2020 IEEE Power & Energy Society General Meeting (PESGM)

The Annual IEEE PES General Meeting will bring together over 2900 attendees for technical sessions, administrative sessions, super sessions, poster sessions, student programs, awards ceremonies, committee meetings, tutorials and more


2020 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)

Bi-Annual IEEE PES T&D conference. Largest T&D conference in North America.


IECON 2020 - 46th Annual Conference of the IEEE Industrial Electronics Society

IECON is focusing on industrial and manufacturing theory and applications of electronics, controls, communications, instrumentation and computational intelligence.


2019 IEEE 23rd International Conference on Intelligent Engineering Systems (INES)

The aim of INES conference series is to provide researchers and practitioners from industry and academia with a platform to report on recent developments in the area of computational intelligence.


2019 IEEE 8th Joint International Information Technology and Artificial Intelligence Conference (ITAIC)

The aim of IEEE ITAIC 2019 is to provide a platform for researchers, engineers, academicians as well as industrial professionals from all over the world to present their research results and development activities in Information Technology and Artificial Intelligence. It provides opportunities for the delegates to exchange new ideas and application experiences, to establish business or research relations and to find global partners for future collaboration.

  • 2014 IEEE 7th Joint International Information Technology and Artificial Intelligence Conference (ITAIC)

    The aim objective of ITAIC 2014 is to provide a platform for researchers, engineers, academicians as well as industrial professionals from all over the world to present their research results and development activities in Information Technology and Artificial Intelligence. This conference provides opportunities for the delegates to exchange new ideas and application experiences face to face, to establish business or research relations and to find global partners for future collaboration.

  • 2011 6th IEEE Joint International Information Technology and Artificial Intelligence Conference (ITAIC)

    The aim objective of ITAIC 2011 is to provide a platform for researchers, engineers, academicians as well as industrial professionals from all over the world to present their research results and development activities in Information Technology and Artificial Intelligence. This conference provides opportunities for the delegates to exchange new ideas and application experiences face to face, to establish business or research relations and to find global partners for future collaboration.


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Periodicals related to Meters

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Most published Xplore authors for Meters

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Xplore Articles related to Meters

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Long-Run Cost-Benefit Analysis of Demand Response for the European System

2018 IEEE Power & Energy Society General Meeting (PESGM), 2018

The operation of power systems faces great challenges as the penetration of variable renewable energy keeps increasing rapidly. Meanwhile, the electrification of transportation and heating systems can increase future peak demand. As a result, grid infrastructures will need to be reinforced, including construction of combustion turbines in order to meet peak demand and offer flexibility to the system, and investment ...


Design and Implementation of IoT Based Smart Energy Meter

2018 IEEE Applied Signal Processing Conference (ASPCON), 2018

Modern day smart grid technology relies heavily on communication networks for two-way communication between load, generation, transmission, and control centre. As a part of the smart grid, smart meters use advanced metering infrastructures (AMI) that are widely distributed and interconnected to the communication network. Such integrated infrastructure has made the power network easy to diagnose and control. But unfortunately, this ...


Application of C5.0 algorithm in failure prediction of smart meters

2016 13th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP), 2016

Aiming at the Smart meters failure prediction problem and based on historical failure data of smart meters in a region of Xinjiang, a smart meter fault identification model is proposed based on C5.0 algorithm: first, after data preprocessing of smart meters history failure database is divided into two parts, training set and testing set; secondly, using C5.0 algorithm for data ...


Leveraging DERs to improve the inference of distribution network topology

2017 IEEE International Conference on Smart Grid Communications (SmartGridComm), 2017

Analytics on smart meter data can help distribution utilities to infer and maintain an accurate topology or connectivity model of their network. Prior work has proposed optimization techniques based on the principle of conservation of energy, which utilize a time series of customer and feeder load (KWH) measurements to compute connectivity information. This work analyses real smart meter measurements to ...


Remote Detection and Identification of Illegal Consumers in Power Grids

IEEE Access, 2019

Electricity theft is a common problem in electric power systems around the world. It causes heavy economic losses and badly affects the reliability of the power grid. One of the most common and simplest methods of stealing electricity is tapping energy directly from the overhead power feeder. The other most common method of theft is the tampering with meters to ...


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Educational Resources on Meters

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IEEE-USA E-Books

  • Long-Run Cost-Benefit Analysis of Demand Response for the European System

    The operation of power systems faces great challenges as the penetration of variable renewable energy keeps increasing rapidly. Meanwhile, the electrification of transportation and heating systems can increase future peak demand. As a result, grid infrastructures will need to be reinforced, including construction of combustion turbines in order to meet peak demand and offer flexibility to the system, and investment in transmission and distribution lines. However, there exists massive flexibility potential on the demand side, which can be exploited in order to reduce or postpone the upgrade of current power systems. Meanwhile, investment in smart meters is necessary to enable demand response. In this paper, we build a capacity expansion model for the European system and carry out a cost-benefit analysis considering the scenario of year 2050. We identify substantial flexibility potential in the residential sector and we find that the investment cost in smart meters can be justified from the perspective of energy suppliers.

  • Design and Implementation of IoT Based Smart Energy Meter

    Modern day smart grid technology relies heavily on communication networks for two-way communication between load, generation, transmission, and control centre. As a part of the smart grid, smart meters use advanced metering infrastructures (AMI) that are widely distributed and interconnected to the communication network. Such integrated infrastructure has made the power network easy to diagnose and control. But unfortunately, this has made power system networks vulnerable to various forms cyber-attacks that have caused major concerns to power researchers in recent times. As a first step towards such cyber-attack related researches and searching for possible mitigation techniques, it is necessary that a smart meter be developed that has the feature of network integration. The present contribution reports the design, fabrication, and operation of an Internet of Things (IoT) based smart meter using Arduino to serve as an integral part of a smart grid system.

  • Application of C5.0 algorithm in failure prediction of smart meters

    Aiming at the Smart meters failure prediction problem and based on historical failure data of smart meters in a region of Xinjiang, a smart meter fault identification model is proposed based on C5.0 algorithm: first, after data preprocessing of smart meters history failure database is divided into two parts, training set and testing set; secondly, using C5.0 algorithm for data mining of training set, spanning the smart meters failure decision tree and preliminary prediction rules; additionally, the correctness of the preliminary prediction rules is evaluated by the data of the test set, and if the accuracy meets the requirement, the prediction rules are determined and if not, then return to the training set again; finally, smart meters failure prediction model generated by the definitive prediction rules. The results of examples showed that accuracy of failure prediction model for the smart meters is higher, achieving good prediction effect, and this method can provide some reference for further research on failure prediction of smart meters.

  • Leveraging DERs to improve the inference of distribution network topology

    Analytics on smart meter data can help distribution utilities to infer and maintain an accurate topology or connectivity model of their network. Prior work has proposed optimization techniques based on the principle of conservation of energy, which utilize a time series of customer and feeder load (KWH) measurements to compute connectivity information. This work analyses real smart meter measurements to show that correlations between customer loads hinders the computation of connectivity information. Based on this finding, we propose a novel approach that exploits the DER flexibility of customers to minimize correlations between their loads, thereby expediting the inversion of connectivity information. Empirical evaluation results are presented based on real smart meter and SCADA data collected from feeders of North American distribution networks.

  • Remote Detection and Identification of Illegal Consumers in Power Grids

    Electricity theft is a common problem in electric power systems around the world. It causes heavy economic losses and badly affects the reliability of the power grid. One of the most common and simplest methods of stealing electricity is tapping energy directly from the overhead power feeder. The other most common method of theft is the tampering with meters to reduce the recorded consumption by illegal ways. In this paper, we present a cost- effective remote detection and identification method for detecting illegal electricity consumption. It also identifies the illegal user in real time without any pre-processing or extensive analysis of a huge amount of collected data. Moreover, it preserves the privacy of customers by destroying the high- resolution data of instantaneous power consumption collected from customers' meters. The system can detect suspicious consumer(s) online and sends notifications to the utility control center with the ID number(s) of the suspicious meter(s) or the amount of load that has been tapped to the power feeder within the area served by a single distribution transformer. The extensive simulations using Simulink were conducted to validate the proposed scheme. For further validation of the scheme, hardware-in-the-loop (HIL) simulation was conducted using three microcontroller-based meters and Simulink environment. The results of both types of experiments showed that the proposed scheme can successfully detect and identify fraudulent users in real time.

  • Efficiency Network Construction of Advanced Metering Infrastructure Using Zigbee

    An advanced metering infrastructure (AMI) consists of a meter data management system, a concentrator, and a meter. Each component can communicate with all other components, through either wired or wireless connections. In an AMI local area networks, various protocols, such as Zigbee, WiFi, and power-line communication, have the potential to be used in AMI communication. Of these protocols, Zigbee offers self-constructing networks, low costs, and superior safety levels. Zigbee is adopted as the LAN communication protocol because of these advantages in this study. In a LAN, a concentrator may encounter many emergent situations, any of which might cause the concentrator to lose its network connection function. Consequently, additional time is required for network construction, which tends to reduce the reliability of smart grids with LANs of this type. To solve these issues, this paper proposes the fast join process (FJP) and enhanced FJP to shorten the time of Zigbee network construction. The strategy employed in this paper is to let every meter join a specified concentrator. The proposed FJP does not scan unnecessary channels. By simplifying association message exchange, we further propose a new method called the enhanced FJP. By using these methods, not only can message flow be managed easily, but the time of network construction can also be improved.

  • Smart metering deployment scenarios in India and implementation using RF mesh network

    Smart Meters are being deployed in India on the basis of pilot projects by various utilities. The aim is to provide the consumer and supplier an easy way to monitor the power consumption regularly. Deployment of smart meters needs proper selection and implementation of a communication network depending on the features that the situation demands. In fact the design of the smart meter depends on the requirements of the utility company as well as the consumers. In this paper, we present an overview of smart metering deployment scenario in India. This paper also focuses on the smart metering system implementation with special reference to the APDCL as well as some key challenges faced during the implementation process.

  • An Intelligent Approach to Observability of Distribution Networks

    This paper presents a novel intelligent observability approach for active distribution systems. Observability assessment of the measured power system network, which is a preliminary task in state estimation, is handled via an algebraic method that uses the triangular factors of singular, symmetric gain matrix accompanied by a minimum meter placement technique. In available literature, large numbers of pseudo measurements are used to cover the scarcity of sufficient real measurements in distribution systems; the values of these virtual meters are calculated value based on the available real measurements, network topology, and network parameters. However, since there are large margin of errors exist in the calculation phase, estimated states may be significantly differed from the actual values though network is classified as observable. Hence, an approach based on numerical observability analysis is introduced in this work to overcome such a critical issue. The proposed method takes the number of meters, location and choice of pseudo measurements into account and assesses the network observability. The developed method is successfully applied to a real-life Danish network, followed by discussion on results.

  • Load balancing and performance optimization in wM-Bus smart meter networks

    Smart meters networks are rapidly becoming a reality in many developed countries. In this paper, we focus on the optimization of a network of smart meters operated by the wM-Bus protocol, which is the de-facto metering standard in Europe. In such a scenario, data concentrators receive data from smart meters using the wM-Bus protocol and relay it to a central server using a legacy mobile cellular backhauling technology such as GSM/GPRS. Due to the massive amount of data produced by meters installed in urban scenarios and the association-less nature of the wM-Bus protocol, data concentrators may be overloaded with many duplicate measurement packets, causing capacity problems on the backhauling links and computational overload at the central server. To solve these issues, we propose a data-driven optimization framework to populate forwarding whitelists at each data concentrator so that (i) load is balanced among the different concentrators and (ii) the overall performance of the network in terms of packet reception rate and received signal strength are maximized. We also propose a heuristic algorithm to generate near optimal forwarding whitelists in acceptable computing time. Extensive experiments are performed on a real scenario consisting of a city wide gas meter network deployed in northern Italy. Results show that the proposed heuristic is able to produce whitelists that reduce the average backhauling traffic as much as 80%, with a corresponding network quality within 4% of the one computed by the optimal solution.

  • The research of performance testing about watt-hour meter plug

    As the important part of new low-voltage metering cabinet, the performance of watt-hour meter plug influences directly the convenience of operation, the stability of smart meter running and the reliability of metering cabinet. For lacking of the uniform technical specification and an effective, reliably and fast testing method for the performance of plug, this paper proposes a new testing method, it includes the important index of insertion and extraction power and temperature rise. The testing results shows that the method of this paper proposed can detect the mechanical and technical parameters accurately and conveniently, it provides reference for the stability and reliability of metering cabinet.



Standards related to Meters

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No standards are currently tagged "Meters"