Journal articles: 'Smart energy meter'

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Babu, A. Narendra, Ch V. L. D. Kavya, A. Praneetha, T. T. Sai Dhanush, T. V. Ramanaiah, K. Nidheesh, and P. S. Brahmanandam. "Smart Energy Meter." Indian Journal Of Science And Technology 15, no. 29 (August 5, 2022): 1451–57. http://dx.doi.org/10.17485/ijst/v15i29.1241.

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Shinde, Mrs Sandhya, Mr Yogesh Yadav, and Miss Bharti Sontakke Miss Pratiksha Zapake. "IoT Based Smart Energy Meter." International Journal of Trend in Scientific Research and Development Volume-1, Issue-6 (October 31, 2017): 1151–53. http://dx.doi.org/10.31142/ijtsrd5761.

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Joshi, Dr Shreedhar A., Srijay Kolvekar, Y. Rahul Raj, and Shashank Singh Singh. "IoT Based Smart Energy Meter." Bonfring International Journal of Research in Communication Engineering 6, Special Issue (November 30, 2016): 89–91. http://dx.doi.org/10.9756/bijrce.8209.

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Akare, Ujawal Rajhans, Adit Dilip Keole, Nikhil Santosh Bahakar, and Rohit Manohan Paunikar. "Smart Energy Meter." International Journal of Innovations in Engineering and Science 6, no. 7 (June 15, 2021): 01–03. http://dx.doi.org/10.46335/ijies.2021.6.7.1.

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Jose K, Jithin, Leneesh Mohan, Nijeesh U K, and Tony C Benny. "Smart Energy Meter." International Journal of Engineering Trends and Technology 22, no. 4 (April 25, 2015): 179–82. http://dx.doi.org/10.14445/22315381/ijett-v22p238.

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Dr. Ananth.J P and Premnath.S P, Dr Belsam Jeba Ananth M. "Smart Energy Meter." International Journal for Modern Trends in Science and Technology 6, no. 12 (December 4, 2020): 125–28. http://dx.doi.org/10.46501/ijmtst061224.

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In present time Electricity is the necessary thing in the world for human life. Today every home, offices, companies, industries have electricity connection. So here this project is building only for interfacing electricity energy meter with microcontrollers. The main aim of the project is identifying the current meter reading and intimating the user when they are crossing the certain limit. It also identifies the power theft and auto tripping will be done.Here, Arduino is used for interfacing and the main aim of this project is to know, how much unit is obtained and the total amount of rupees has to be paid. That will be sent to the EB office for billing. Excess power usage can also be monitored. Hence, power theft can be avoided. If bill is not paid in time, then it will automatically turn off the power.

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J, Gangadhar. "Consumer Interface Smart Energy Meter." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (May 31, 2023): 2603–6. http://dx.doi.org/10.22214/ijraset.2023.52209.

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Abstract: It is realized that one of the defective subsystems adding to the tremendous budgetary loss in Power Supply Company is the conventional metering and charging framework. Mistakes get presented at each phase of charging the energy rates, similar to blunders with conventional meters, reading errors by human while noticing the consumed energy; and blunder during the preparation of paid and the due bills. The solution for this downside is a prepaid charging or billing framework of consumed energy. Most of the developing countries are shifting their conventional energy management practices to the modern one by replacing the old and conventional energy meters with the smart meters outfitted with the prepaid facility to quantify the power consumption so as to decrease the income deficits looked by utilities because of customer unwillingness to make consumed energy payments on time. Our proposed design embedded with Arduino and GSM technology is advancement over conventional energy meter, which enables consumer to effectively manage their electricity usage. The system performance is good with the acquired results. An earlier charging will undoubtedly get rid of the issues of unpaid bills and human mistakes in meter readings, along these lines guaranteeing justified income for the utility.

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Mali, Prof Madhavi. "The Smart Energy Meter." International Journal for Research in Applied Science and Engineering Technology 9, no. 2 (February 28, 2021): 1–6. http://dx.doi.org/10.22214/ijraset.2021.32848.

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Xie, Wenwang, Leping Zhang, Bensong Zhang, Wei Zhang, Pingping Wang, and Shuya Qiao. "Reliability Analysis of Intelligent Electric Energy Meter under Fusion Model Illness Analysis Algorithm." Journal of Sensors 2021 (November 13, 2021): 1–10. http://dx.doi.org/10.1155/2021/2000879.

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This work is aimed at solving the morbidity problem of the smart meter fusion model and improve the measurement accuracy and reliability of the smart meter. Starting with the topology of the smart meter, the reason for the serious morbidity of the smart meter model is discussed. First, the basic process of power system state estimation of smart meters is introduced, and the concept of error analysis of smart meters is clarified. Then, the causes and mechanisms of the ill-conditioned problems of the smart meter model are analyzed, and methods to reduce the morbidity of the smart meter calculation model are analyzed. Finally, a data optimization algorithm based on a greedy strategy and an improved Tikhonov regularization method is proposed. The model data is processed and optimized to reduce the morbidity of the smart meter measurement model. The results show that the analysis algorithm for reducing the morbidity error of the smart meter proposed in this study can effectively interfere with the morbidity of the smart meter calculation model. The processing effect shows that it can reduce the measurement error of the smart meter to about 5%, which is an order of magnitude lower than the error before processing, and the processing effect of the least square method is improved by more than 70%. From the perspective of processing speed, when the user number is between 50 and 100, the running time of the algorithm ranges between 1.5 and 3.5 s, which can be fully adapted to the actual situation and has strong practicability. In short, this study is helpful in improving the accuracy and reliability of smart meter calculations and provides a certain reference for related research.

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Ridha, Oday A. L. A., and Dhurgham M. Jasim. "Design and Implementation of Enhanced Smart Energy Metering System." Journal of Engineering 23, no. 3 (February 28, 2017): 61–79. http://dx.doi.org/10.31026/j.eng.2017.03.05.

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In this work, the design and implementation of a smart energy metering system has been developed. This system consists of two parts: billing center and a set of distributed smart energy meters. The function of smart energy meter is measuring and calculating the cost of consumed energy according to a multi-tariff scheme. This can be effectively solving the problem of stressing the electrical grid and rising consumer awareness. Moreover, smart energy meter decreases technical losses by improving power factor. The function of the billing center is to issue a consumer bill and contributes in locating the irregularities on the electrical grid (non-technical losses). Moreover, it sends the switch off command in case of the consumer bill is not paid. For implementation of smart energy meter, the microcontroller (PIC 18F45K22) is used. For communication between billing center and smart energy meters, ZigBee technology is adopted. The necessary program for smart energy meter is written in MicroC PRO, while the program for billing center is written in visual C#.

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Pan, Ying, and Bo Jiang. "Smart Metering for Applications." Advanced Materials Research 960-961 (June 2014): 823–27. http://dx.doi.org/10.4028/www.scientific.net/amr.960-961.823.

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As an important part of Smart Grid, smart metering attracts more and more attention all over the world. It is the way for energy consumer to sense the benefit of smart grid directly. Smart meter is an advanced energy meter that measures consumption of electrical energy providing additional information compared to a conventional energy meter. This paper discusses various applications and technologies that can be integrated with a smart meter. Smart meters can be used not only from the supply side monitoring but also for the demand side management as well. It plays an important role to monitor the performance and the energy usage of the grid loadings and power quality. In addition, This paper gives a comprehensive view on the benefit of smart metering in power network such as energy efficiency improvement.

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John, M. Mohammed. "Smart Energy Meter for Energy Conservation." International Journal for Research in Applied Science and Engineering Technology 7, no. 3 (March 31, 2019): 2456–57. http://dx.doi.org/10.22214/ijraset.2019.3450.

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Mr. Y.Rajeshbabu, E.Mounika, J. Varalakshmi, K. Tejaswini, N. Lokesh Reddy, and T. Naveen Kumar. "Smart Energy Meter using IOT." international journal of engineering technology and management sciences 7, no. 3 (2023): 111–15. http://dx.doi.org/10.46647/ijetms.2023.v07i03.015.

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The wireless monitoring system of energy meter using Blynk application via smart phone. In addition, the over consumption of energy notification as an optional Features embedded in this system. Due to the advance recent technology in tandem with the Internet of Things (IoT) can be also applied in advance as an application of Artificial Intelligence (AI)into a manual device, transitional to an automated device such as smart meter that helps the smart cities to have an efficient energy management system as an ewconcept. This system used ESP32 as a micro- controller board with WiFi module to provide IoT communication with IoT platform such as Blynk application. The prototype designed intends to monitor daily energy consumption in the smart phone application interfaced with Blynk server and also provide awareness to save electricity through notification using Blynk features by the smart phone application. We need to select the current sensor as well as the voltage sensor so that the current & voltage can be measured and thus, we can know about the power consumption & total power consumed.

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M, Varsha, Shravani R, Sanisha P S, Iram Fathima, and Rashmi R. "Smart Energy Meter Using IOT." International Journal of Innovative Research in Advanced Engineering 10, no. 05 (May 31, 2023): 219–23. http://dx.doi.org/10.26562/ijirae.2023.v1005.14.

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The efficient use of energy plays a very vital role in the development of smart grid. So, the chief priority of the smart grid id the monitoring and controlling of the energy consumption. The present energy meter has few problems. The proposed system is an add on module that controls and calculates the energy consumption using ESP 8266 12E, a Wi-Fi module and it will upload the data to the cloud from where the consumers can view their reading. Our system is slightly modified from the original module to get the current reading. The energy consumption and computation become easier and controllable by the consumer. Smart Energy Module enables the vision of a smart grid it ensures more accurate energy measurement and lower power consumption.

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Awaze, Prof S. K., Mr Chaudhari Nikhil Sudam, Mr Shere Mahesh Asaram, and Mr Nakade Shubham Sachin. "IOT Based Smart Energy Meter." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (May 31, 2023): 6995–98. http://dx.doi.org/10.22214/ijraset.2023.53338.

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Abstract: The labour involved in gathering utility metre readings for energy. The main goal of this project is to use the Internet of Things (IoT) to measure electricity consumption in home appliances and produce a bill automatically. IoT is an efficient and cost-effective way to transfer information about energy consumers wirelessly. A distributed architecture must be used to create the energy grid so that it can dynamically include various energy sources. IoT may be used for a variety of smart grid applications, including energy demand side management, distributed energy plant metering, smart metres for energy generation and consumption, and many areas of energy production.

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Sousa, Ewerton L. de, Leonardo A. de Aquino Marques, Israel da S. Felix de Lima, Ana Beatriz M. Neves, Eduardo Nogueira Cunha, Márcio Eduardo Kreutz, and Augusto José V. Neto. "Development a Low-Cost Wireless Smart Meter with Power Quality Measurement for Smart Grid Applications." Sensors 23, no. 16 (August 16, 2023): 7210. http://dx.doi.org/10.3390/s23167210.

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Developing a low-cost wireless energy meter with power quality measurements for smart grid applications represents a significant advance in efficient and accurate electric energy monitoring. In increasingly complex and interconnected electric systems, this device will be essential for a wide range of applications, such as smart grids, by introducing a real-time energy monitoring system. In light of this, smart meters can offer greater opportunities for sustainable and efficient energy use and improve the utilization of energy sources, especially those that are nonrenewable. According to the 2020 International Energy Agency (IEA) report, nonrenewable energy sources represent 65% of the global supply chain. The smart meter developed in this work is based on the ESP32 microcontroller and easily accessible components since it includes a user-friendly development platform that offers a cost-effective solution while ensuring reliable performance. The main objective of developing the smart meters was to enhance the software and simplify the hardware. Unlike traditional meters that calculate electrical parameters by means of complex circuits in hardware, this project performed the calculations directly on the microcontroller. This procedure reduced the complexity of the hardware by simplifying the meter design. Owing to the high-performance processing capability of the microcontroller, efficient and accurate calculations of electrical parameters could be achieved without the need for additional circuits. This software-driven approach with simplified hardware led to benefits, such as reduced production costs, lower energy consumption, and a meter with improved accuracy, as well as updates on flexibility. Furthermore, the integrated wireless connectivity in the microcontroller enables the collected data to be transmitted to remote monitoring systems for later analysis. The innovative feature of this smart meter lies in the fact that it has readily available components, along with the ESP32 chip, which results in a low-cost smart meter with performance that is comparable to other meters available on the market. Moreover, it is has the capacity to incorporate IoT and artificial intelligence applications. The developed smart meter is cost effective and energy efficient, and offers benefits with regard to flexibility, and thus represents an innovative, efficient, and versatile solution for smart grid applications.

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Mela, Hanna, Juha Peltomaa, Marja Salo, Kirsi Mäkinen, and Mikael Hildén. "Framing Smart Meter Feedback in Relation to Practice Theory." Sustainability 10, no. 10 (October 3, 2018): 3553. http://dx.doi.org/10.3390/su10103553.

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Smart metering is advancing rapidly and consumption feedback from smart meters is expected to help residents to reduce their energy and water consumption. In recent years, more critical views have been expressed based on theories of social practice, arguing that smart meter feedback ignores the role of various mundane practices where energy and water are consumed and instead targets individuals as active decision-makers. We present a review of qualitative studies on smart meter feedback and results of a survey to European smart metering projects. We argue that theories of social practice can be used to reframe the challenges and potentials of smart meter feedback that have been identified in the literature and our survey. This presents challenges of smart meter feedback as resulting from normalised resource intensive practices rather than from uninterested and comfort-loving individuals. Potentials of improving the effectiveness of smart meter feedback relate to supporting communities and peer-learning and combining smart meter feedback with micro-generation of renewable energy. This has implications for how domestic energy and water consumption is targeted by policy.

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Lan, Ji Ming, Chang You Fu, and Jin Wu Ju. "Development of 3G Smart Meter System Based on Internet of Things." Advanced Materials Research 756-759 (September 2013): 2452–56. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.2452.

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As a tool for energy metering, electric meter is the function integration base of smart grid. Traditional mechanical meters and ordinary electronic meters havent met the needs of the modern smart grid. In this paper, a novel smart meter system based on 3G is proposed. This 3G smart meter system is integrated of some new technologies, such as effective energy metering, embedded MCU, 3G wireless communication & Database management. The constitution of system and the hardware and software design have been introduced in detail in this paper. The experiment shows that some real-time energy measurement parameters have been provided to power users by the 3G smart meter system, and the two-way wireless data communication between power users and power corporations has been accomplished effectively. Furthermore the management level of power corporations has been promoted.

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Kumar, R. Senthil, K. Prabaakaran, Mohammed Ovaiz, J. Vivek, B. Harshith, and P. Lokesh. "Advanced smart energy meter for energy conservation." Journal of Physics: Conference Series 1916, no. 1 (May 1, 2021): 012136. http://dx.doi.org/10.1088/1742-6596/1916/1/012136.

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Karima, Aisyatul, and I. Ketut Agung Enriko. "Analisis Implementasi Konektivitas Indihome Untuk Pengguna Smart Meter PLN." TEMATIK 9, no. 1 (June 16, 2022): 36–43. http://dx.doi.org/10.38204/tematik.v9i1.902.

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Smart meters are an integration of ICT in energy meters. The smart meter has a two-way communication feature that allows the operator to read energy data remotely and in real-time. Carrying out remote and real-time monitoring raises several problems including connection costs, coverage area, and the quality of the connection. Based on this background, the formulation of the problem in this study is how to choose effective and efficient smart meter connectivity for customers and how the performance of IndiHome services in the implementation of PLN's smart meters. The purpose of this study is to provide a recommendation system for the selection of an effective connection and propose a new architecture for PLN smart meter customers. This is one of the Internet of things (IoT) implementations to save cost in the use of smart meters. The method used is a literature review, survey, data collection, develop a new architecture, as well as analysis and evaluation of the results. The results of this study indicate that the proposed new IndiHome architecture can send monitoring data from the PLN smart meter device remotely and in real-time and does not incur costs that burden customers.

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Bhagawati, Mallikarjun, Vinod Hiremani, and Suresh M. "Smart Energy Meter Management using GSM." IJIREEICE 5, no. 2 (April 5, 2017): 7–11. http://dx.doi.org/10.17148/ijireeice/ncaee.2017.02.

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Supriya Kurlekar et al.,, Supriya Kurlekar et al ,. "Smart Hybrid Energy Meter and Utilization." International Journal of Mechanical and Production Engineering Research and Development 10, no. 3 (2020): 2689–98. http://dx.doi.org/10.24247/ijmperdjun2020253.

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Gadgay, Dr Baswaraj. "Smart Energy Meter using Arduino UNO." International Journal for Research in Applied Science and Engineering Technology 7, no. 10 (October 31, 2019): 74–77. http://dx.doi.org/10.22214/ijraset.2019.10013.

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Deivakani, M., J. Booma, R. S. Karthic, and K. Kanimozhi. "Smart Energy Meter For Household Application." Restaurant Business 118, no. 6 (June 25, 2019): 55–59. http://dx.doi.org/10.26643/rb.v118i6.7238.

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On the grounds that these day’s energy meters have many drawbacks like two way communication, actual time tracking, electricity tampered, and many others. To manage up with these dangers, this proposed work is used to monitor electricity consumption at home level. This allows in reducing electricity consumptions and monitors the gadgets ate up. The objective is to make the electrical appliances shrewd and offer consolation to client and to reduce energy intake in web packages. Plan and execution of the task is specifically founded on Arduino UNO controller and IoT generation. If any tampering happens the controller will send the information to the server .This adventure depicts the digitization of burden quality utilization readings over the net. The web site makes use of the THINGSPEAK analytics to analyze the strength utilization to present more targeted description and visualization of the energy utilization information. Wi-Fi unit performs IOT operation by means of sending electricity facts of the load to the webpage which may be accessed thru the channel identification of the tool. The above system in completed to every single home equipment to screen electricity ate up through that specific appliance, with the aid of doing this over consumption this is intake beyond specific limit can be without problems identified and tends to choose a suitable replacement for that unique equipment by means of other via another that consumes less energy or to pick out any fault in it keywords: Low power, electricity meter

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HIRANUMA, Kenji, Masataka KAWANA, Masahiro OSAKABE, Hiroyasu KIFUNE, Kunihiko MOURI, and Kazutomo INUKAI. "Energy Saving Experiment by Smart Meter." TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series B 79, no. 799 (2013): 234–38. http://dx.doi.org/10.1299/kikaib.79.234.

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Patanayak, Adarsh, Omkar Nale, and Govardhan Mithe. "IOT Based Smart Home Energy Meter." International Journal for Research in Applied Science and Engineering Technology 11, no. 6 (June 30, 2023): 4572–75. http://dx.doi.org/10.22214/ijraset.2023.53725.

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Abstract: During the on going time period the need of power i.e. electricity is growing exponentially due to the rapid usage of various technologies present around us. Due to this it has been a matter of worry for the developing and developed countries for need of rapid power outages. Solution for this was inferred as buyer send individuals to monitor their daily usage in their respective places. The project emphasizes on Smart Metering to ensure a cleaner and efficient transmission of power depending upon one’s use and to provide a sustainable development. The meters used since the starting of era don’t provide enough data for the buyer to be aware of the usage and what to or how to monitor the usage. Smart Meter helps the buyers to monitor them time to time usage and to remotely access their respective loads from anywhere. This project helps in obtaining a newer form of approach to the buyers to help the reduce the cost of usage of power and to help in sustainable development. In addition , we have implement system to monitor the use of each load so that the user can track daily energy consumption with the appropriate load.

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Schirmer, Pascal A., Iosif Mporas, and Akbar Sheikh-Akbari. "Identification of TV Channel Watching from Smart Meter Data Using Energy Disaggregation." Energies 14, no. 9 (April 27, 2021): 2485. http://dx.doi.org/10.3390/en14092485.

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Smart meters are used to measure the energy consumption of households. Specifically, within the energy consumption task, a smart meter must be used for load forecasting, the reduction in consumer bills as well as the reduction in grid distortions. Smart meters can be used to disaggregate the energy consumption at the device level. In this paper, we investigated the potential of identifying the multimedia content played by a TV or monitor device using the central house’s smart meter measuring the aggregated energy consumption from all working appliances of the household. The proposed architecture was based on the elastic matching of aggregated energy signal frames with 20 reference TV channel signals. Different elastic matching algorithms, which use symmetric distance measures, were used with the best achieved video content identification accuracy of 93.6% using the MVM algorithm.

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Afreen, Macherla Sri Vishnu, and Pentam Prashanth Kumar. "IoT-Based Prepaid Energy Meter." International Journal for Research in Applied Science and Engineering Technology 11, no. 3 (March 31, 2023): 133–34. http://dx.doi.org/10.22214/ijraset.2023.49363.

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Abstract: India uses electromechanical or electronic energy meters. The main problems with these energy meters are recovering the electricity bills and more manpower being used in billing processes. An IOT-based prepaid energy meter would be able to address some of the challenges currently available in the existing energy meter. Smart Metering with its unique performance with the Internet of Things (IoT) tends to be an efficient system for electricity management. This can reduce human errors and helps to retrieve the real-time meter value via IOT and send it to the customer’s mobile phone through IOT. This energy meter consists of ATMEGA328, a Current sensor, and a Wi-Fi module. It also consists of a mobile app through which consumers can monitor the electricity used by them.

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Masood, Zaki, Ardiansyah, and Yonghoon Choi. "Energy-Efficient Optimal Power Allocation for SWIPT Based IoT-Enabled Smart Meter." Sensors 21, no. 23 (November 25, 2021): 7857. http://dx.doi.org/10.3390/s21237857.

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This paper presents an internet of things (IoTs) enabled smart meter with energy-efficient simultaneous wireless information and power transfer (SWIPT) for the wireless powered smart grid communication network. The SWIPT technique with energy harvesting (EH) is an attractive solution for prolonging the battery life of ultra-low power devices. The motivation for energy efficiency (EE) maximization is to increase the efficient use of energy and improve the battery life of the IoT devices embedded in smart meter. In the system model, the smart meter is equipped with an IoT device, which implements the SWIPT technique in power splitting (PS) mode. This paper aims at the EE maximization and considers the orthogonal frequency division multiplexing distributed antenna system (OFDM-DAS) for the smart meters in the downlink with IoT enabled PS-SWIPT system. The EE maximization is a nonlinear and non-convex optimization problem. We propose an optimal power allocation algorithm for the non-convex EE maximization problem by the Lagrange method and proportional fairness to optimal power allocation among smart meters. The proposed algorithm shows a clear advantage, where total power consumption is considered in the EE maximization with energy constraints. Furthermore, EE vs. spectral efficiency (SE) tradeoff is investigated. The results of our algorithm reveal that EE improves with EH requirements.

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Sharma, Prof C. J., Aparna S. Bhajbhuje, Nikita R. Tajane, and Bhavesh V. Dharmik. "Design and Implementation of Smart Energy Meter." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (April 30, 2022): 767–72. http://dx.doi.org/10.22214/ijraset.2022.41262.

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Abstract: In this paper we are presents the design and implementation of a smart energy meter using an PIC16F886 microcontroller and a liquid crystal display (LCD). It is used in residential consumer. It is an electric device having energy meter chip for measuring the electric energy consumed. It is also allowing the meter owner to have a meter utilized and the corresponding amount will be displayed on the LCD continuously. Also they can monitor the meter reading regularly without the person visiting each house. Microcontroller PIC16F886 to prevent and control the energy meter from power theft. In the voltage system whenever occurring of under voltage and over voltage condition then meter should be given a constant voltage. Keywords: Smart meter, PIC16F886 microcontroller, Power consumption, Voltage stabilizer and LCD display

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Jaya Surendra Jha, Tushar Ramesh Pal, Akshay kishor Sonawane, and Shrishti Bhatia. "Automated energy meter." International Journal of Scientific Research Updates 4, no. 2 (June 30, 2023): 045–51. http://dx.doi.org/10.53430/ijeru.2023.4.2.0025.

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In recent years, the Smart Energy Meter has attracted a lot of attention from all over the world. In this paper a design and prototyping a low-cost IoT energy monitoring is presented, which may be utilized in a variety of applications such as power billing, smart grid energy management, and home automation. The system is based on a low-cost ESP32 microcontroller that is interfaced non-invasive Current Sensors, and Voltage Sensor to get data from sensor nodes and deliver it to a Blynk server over the internet. The studies' findings showed that the system for monitoring energy consumption can precisely record voltage, current, active power, and cumulative power consumption. According to the market requirements of Electric Meters. Nowadays, the system will use ZigBee and GSM systems for communication protocol. The ZigBee is used since the application does not need a high-speed data rate, need to be low powered and low-cost. Presenting the remote wireless Electric Meter Reading System, aims at resolving the shortcomings of the technology of the traditional Electric Meter Reading, combining the characteristics of the ZigBee technology and IEEE802.15.4 standard. Electricity is one of the fundamental necessities of human beings, which is commonly used for domestic, industrial, and agricultural purposes. Power theft is the biggest problem in recent days which causes a lot of loss to electricity boards. In countries like India, these situations are more often. If we can prevent these thefts, we can save a lot of power. This is done using Automated Energy Meter (AEM). AEM is an electronic device with having energy meter for measuring the electric energy consumed and a wireless protocol for data communication

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., Mallikarjun G. Hudedmani, Swati Kadapatti ., Sneha Ghatole ., Shamlee Rashinkar ., and Varsha Yadave . "IoT Based Smart Energy Meter for Smart Grid Applications." Volume 5 No.3; 2019 5, no. 3 (March 30, 2019): 982–87. http://dx.doi.org/10.29294/ijase.5.3.2019.982-987.

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Sharma, Navonita, and Ajoy Kumar Chakraborty. "Implementation of Dynamic Controls for Grid-Tied-Inverters through Next-Generation Smart Meters and Its Application in Modernized Grid." Energies 15, no. 3 (January 28, 2022): 988. http://dx.doi.org/10.3390/en15030988.

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In this paper, an introduction and comprehensive analysis have been presented for the implementation and application of modern smart meters which include Unbundled Smart Meters (USM) and Next-Generation Open Real-Time Smart Meters (NORM). This article also contributes to methods through which USM and NORM could provide a better perspective to the already available technologies for grid-tied-inverter controlled feeding renewables to the grid. The research proposes a next-generation smart meter model with the feature of a phasor measurement unit. The meter is further integrated with a controller board that controls the power injection from the inverter to the grid based on the real-time data obtained from the smart meter. The inverter is simulated with an open-circuit fault and is controlled to provide non-oscillatory power to the grid based on an instantaneous grid power factor or phase requirement. The proposed meter has the flexibility to add additional features to control the inverter based on other grid requirements such as active and reactive power control, tariff implementation, etc. This manuscript provides the analytical aspects of the use of smart meters in efficient energy management and also addresses the need for smart technologies for grid modernization.

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Dukanac, Đorđe. "Optimalno podešavanje rezolucije registra električne energije pametnog brojila." Energija, ekonomija, ekologija XXIV, no. 2 (2022): 75–85. http://dx.doi.org/10.46793/eee22-2.75d.

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Technical losses in the transmission network are: losses of power, i.e. electrical energy, which are a consequence of the consumption of power, i.e. energy for heating the elements in the transmission network due to the existence of active resistance in these elements, losses due to hysteresis, losses due to eddy currents, losses due to drain currents in insulation, losses due to corona and dielectric losses. With the most frequent use of smart meters for indirect connection in operation in a plant set up to display electricity from the secondary side, the active electricity will be read on the meter screen with an additional error. Then the transformation ratios of voltage and current instrument transformers are set in the smart meter as 1:1. In order to obtain the actual value of energy, it is necessary to multiply the measured value of electricity from the meter by the transformation ratios of instrument transformers. Another way is to adjust the actual transformation ratios of voltage and current instrument transformers in the smart meter, so that the actual value of electricity in megawatts can be read on the meter screen. In this paper, the errors of electricity reading are considered, taking into account: transformation ratios of measuring transformers, resolutions and units of electricity, methods of setting smart meters, internal constants of meters, nominal secondary currents of electric meters and the prescribed maximum energy that is registered on the screen of electric meter. It investigates how much larger the errors of secondarily set electric meters for indirect connection with the usual resolution for displaying electricity in three decimal places and the unit of measurement in kilowatt hours compared to other possible settings for reading meters. Errors in the calculation of technical losses of electricity on high-voltage transmission lines and cables and power transformers are noticeable.

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Habib, Muhammad Qasim, Muhammad Usman Shoukat, Muhammad Irfan, Muhammad Zubair, Suleman Ahmed, Mohsin Raza, Tanveer Ali, and Ahmad Sarwar. "Smart Meter Development Using Digital Twin Technology for Green Energy Distribution Optimization." European Journal of Theoretical and Applied Sciences 1, no. 3 (June 8, 2023): 181–90. http://dx.doi.org/10.59324/ejtas.2023.1(3).20.

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This study proposes a digital twin (DT) approach and technical framework for smart meters to solve potential implementation and development problems and adapt to the new energy revolution trend and increase smart grid network security. DT models were deployed in the cloud and edge using a smart meter DT demonstration system. This paper evaluates the DT system's communication performance in real-time smart grid application through three dimensions: remote application service for smart grid user side, P2P transaction on the user side, and user real-time request service. This study's container-based decision tree strategy for smart meters meets the smart grid's real-time communication requirements for user-side applications.

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R, Jaichandran, Rajaprakash S, Amit Kumar Verma, Abhishek Sinha, and Pankaj Kumar Singh. "Smart Energy Meter for Computing Energy Cost Based on Consumers Category and Tariff Rates." International Journal of Engineering & Technology 7, no. 3.1 (August 4, 2018): 86. http://dx.doi.org/10.14419/ijet.v7i3.1.16804.

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This paper present a smart energy meter for computing energy cost based on consumers category and tariff rates. Proposed smart energy meter computes consumer energy cost, subsidy amount, and payable energy cost based on consumers category and tariff rates of Tamil Nadu electricity board. Prototype is experimented in various scenarios and evaluated using test cases. Results show the proposed smart energy meter is effective in computing energy cost based on consumers category and tariff rates.

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Maitra, Subhashis. "Smart Energy meter using Power Factor Meter and Instrument Transformer." Communications on Applied Electronics 4, no. 1 (January 26, 2016): 31–37. http://dx.doi.org/10.5120/cae2016652015.

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Rusdi, Muhammad, Adik Putra Andika, Paulus Mangera, and Jayadi Jayadi. "Smart Energy Meter : Monitoring Konsumsi Energi Listrik Berbasis Iot." Musamus Journal of Electro & Mechanical Engineering 4, no. 01 (July 25, 2022): 18–22. http://dx.doi.org/10.35724/mjeme.v4i01.4620.

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Manajemen konsumsi energi listrik bertujuan untuk efesiensi penggunaan peralatan listrik. Oleh karena itu, smart energy meter dibutuhkan untuk memonitoring penggunaan energi listrik dalam memanejemen konsumsi energi listrik. Metode yang digunakan yaitu berbasis pada jaringan internet dengan memanfaatkan platform IoT Blynk untuk menampilkan hasil pengukuran energi listrik. NodeMCU ESP8266 berfungsi sebagai perangkat mikrokontroler yang mengambil data dari sensor energi PZEM-004T kemudian mengkoneksikan dan mengirimkan data pada smartphone melalui jaringan WiFi. Hasil Pengujian yang dilakukan pengukuran selama 2247 detik dengan beban kipas angin berdasarkan perubahan kecepatan. Smart energy meter berfungsi dengan baik dan mampu mendeteksi terjadinya perubahan beban berdasarkan variable tegangan, arus, daya dan energy. Tegangan rata- rata yang di peroleh yaitu 225 V dengan arus sebesar 0,16 A untuk beban dengan kecepatan sedang dan arus sebesar 0,18 A untuk beban dengan kecepatan maksimal, Daya maksimum yaitu 40,1 W pada saat beban maksimal. Sedangkan konsumsi energi selama pengujian yaitu sebesar 0,04 kWh.

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Venkat, M., R. Kartik, P. Vamshi Krishna, Gautham, and P. Radhika. "Energy Meter Using Telegram Bot." Journal of Computational and Theoretical Nanoscience 17, no. 8 (August 1, 2020): 3586–91. http://dx.doi.org/10.1166/jctn.2020.9236.

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An individual from the power office, whose obligation is to peruse the energy meter and handover the bills to the proprietors of that house each month. This is only meter readings, we need to take care of the tabs. The fundamental downside of this framework is that a person must go zone and he must peruse the meter of every house and handover the bills. Ordinarily, mistakes like additional bill sum or notice from the electric board despite the fact that the bills are paid have regular blunders. To beat this disadvantage we have accompanied a thought which will dispense with the outsider between the buyer and specialist co-op, even the mistakes will be survived. Right now, the thought of shrewd energy meter utilizing IoT and Arduino have been presented. Right now, we are utilizing Arduino on the grounds that it is energy effective for example it expends less force. Right now, meters that are as of now introduced at our homes are not supplanted, however a little alteration on the as of now introduced meters can change the current meters into smart meters. Programmed ON and OFF of the meter. The threshold setting and sending of notice is an extra errand that is performing.

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Dewangan, Fanidhar, Almoataz Y. Abdelaziz, and Monalisa Biswal. "Load Forecasting Models in Smart Grid Using Smart Meter Information: A Review." Energies 16, no. 3 (January 31, 2023): 1404. http://dx.doi.org/10.3390/en16031404.

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The smart grid concept is introduced to accelerate the operational efficiency and enhance the reliability and sustainability of power supply by operating in self-control mode to find and resolve the problems developed in time. In smart grid, the use of digital technology facilitates the grid with an enhanced data transportation facility using smart sensors known as smart meters. Using these smart meters, various operational functionalities of smart grid can be enhanced, such as generation scheduling, real-time pricing, load management, power quality enhancement, security analysis and enhancement of the system, fault prediction, frequency and voltage monitoring, load forecasting, etc. From the bulk data generated in a smart grid architecture, precise load can be predicted before time to support the energy market. This supports the grid operation to maintain the balance between demand and generation, thus preventing system imbalance and power outages. This study presents a detailed review on load forecasting category, calculation of performance indicators, the data analyzing process for load forecasting, load forecasting using conventional meter information, and the technology used to conduct the task and its challenges. Next, the importance of smart meter-based load forecasting is discussed along with the available approaches. Additionally, the merits of load forecasting conducted using a smart meter over a conventional meter are articulated in this paper.

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Rind, Yousaf Murtaza, Muhammad Haseeb Raza, Muhammad Zubair, Muhammad Qasim Mehmood, and Yehia Massoud. "Smart Energy Meters for Smart Grids, an Internet of Things Perspective." Energies 16, no. 4 (February 16, 2023): 1974. http://dx.doi.org/10.3390/en16041974.

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Smart energy has evolved over the years to include multiple domains integrated across multiple technology themes, such as electricity, smart grid, and logistics, linked through communication technology and processed in the cloud in a holistic way to deliver on global challenges. Advances in sensing, communication, and computation technologies have been made that enable better smart system implementations. In smart energy systems, sensing technologies have spanned multiple domains with newer techniques that are more accurate, have greater dynamic ranges, and are more reliable. Similarly, communication techniques have now evolved into very high-speed, flexible, and dynamic systems. Computation techniques have seen a quantum leap with greater integration, powerful computing engines, and versatile software stacks that are easily available and modifiable. Finally, the system integration has also seen advances in the form of management, automation, and analytics paradigms. Consequently, smart energy systems have witnessed a revolutionary transformation. The complexity has correspondingly grown exponentially. With regard to smart meters, the measurement component has to scale up to meet the demands of the evolved energy eco-system by relying on the advancements offered. The internet of things (IoT) is a key technology enabler in this scenario, and the smart meter is a key component. In recent years, metering technology has evolved in both complexity and functionality. Therefore, it must use the advances offered by IoT to deliver a new role. The internet of things (IoT) is a key technology enabler in this scenario and the smart meter a key component. In recent years, metering technology has evolved in both complexity and functionality. To deliver on its new role, it must use the advances offered by IoT. In this review, we analyze the smart meter as a combination of sensing, computing, and communication nodes for flexible and complex design paradigms. The components are, in turn, reviewed vis-à-vis the advances offered by IoT. The resultant gaps are reported for future design challenges in the conclusion. The identified gaps are the lack of usage of the full spectrum of the available technology and the lack of an inter-disciplinary approach to smart meter design.

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Al-Haiqi, Ahmed, Ammar Ahmed Alkahtani, Farah Hani Nordin, and Mohd Zafri Baharuddin. "A New Approach for Privacy-Aware Smart Metering using the Concept of Software Defined Networking." International Journal of Engineering & Technology 7, no. 4.35 (November 30, 2018): 410. http://dx.doi.org/10.14419/ijet.v7i4.35.22772.

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The direct and two-way communication between energy suppliers and high-frequency smart meters enables the suppliers to implement dynamic pricing and manage demand response. Fine-grained monitoring of energy consumption also helps consumers improve their energy profile. This granularity, however, may impose a threat on household privacy. Detailed profile of energy usage can be mapped into detailed profile of daily activities. Many proposals attempted to mitigate this problem and introduce privacy-preserving smart metering. The main approach is to process meter data before they are sent to the energy provider, through de-identification, aggregation or encryption. This processing can take place locally on the smart meter itself, or through a trusted third party. Such solutions suffer from increased smart meter complexity or increased infrastructure complexity, which may render them unacceptable. The idea described in this paper aims to avoid those drawbacks by proposing a new architecture to implement privacy-aware metering. The proposed approach employs the concept of software-defined networking (SDN) to manage smart-meter data in a separate control layer inside the home network. Leveraging the concept of SDN puts the control back in the hands of the consumers to manage their own privacy via SDN applications, and relieves the supplier from enduring extra complexities.

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Ridzki, Imron, Muhammad Fahmi Hakim, and Ichwan Bayu Kusuma. "Rancang Bangun Automatic Smart Energy Meter Berbasis RFId." ELPOSYS: Jurnal Sistem Kelistrikan 8, no. 1 (February 27, 2021): 51–54. http://dx.doi.org/10.33795/elposys.v8i1.38.

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The development of technology today makes it easier for humans in their daily activities. One of them is in the digital world. In the industrial era 4.0. more and more companies are issuing breakthrough new products based on digital technology that aim to be practical in their use. One of the technologies applied is the use of smart cards. For example in the use of smart keys in homes and car doors. Then in the current transaction process, many have implemented this smart card technology. The purpose of this research is to apply the latest technology in the energy transaction process which will be applied to the KWh meter. The smart card used is RFId and is integrated in the database and website so that its use is more practical and flexible. Then the use of this smart card can be applied to the smart energy meter so that later the prepaid energy transaction process can be applied easily with this smart energy meter.

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Hakim, Muhammad Fahmi, Imron Ridzki, and Ichwan Bayu Kusuma. "Rancang Bangun Automatic Smart Energy Meter Berbasis RFId." Elposys: Jurnal Sistem Kelistrikan 8, no. 1 (February 15, 2021): 32–35. http://dx.doi.org/10.33795/elposys.v8i1.628.

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The development of technology today makes it easier for humans in their daily activities. One of them is in the digital world. In the industrial era 4.0. more and more companies are issuing breakthrough new products based on digital technology that aim to be practical in their use. One of the technologies applied is the use of smart cards. For example in the use of smart keys in homes and car doors. Then in the current transaction process, many have implemented this smart card technology. The purpose of this research is to apply the latest technology in the energy transaction process which will be applied to the KWh meter. The smart card used is RFId and is integrated in the database and website so that its use is more practical and flexible. Then the use of this smart card can be applied to the smart energy meter so that later the prepaid energy transaction process can be applied easily with this smart energy meter.

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Santhosh, Chella, S. V. Aswin Kumer, J. Gopi Krishna, M. Vaishnavi, P. Sairam, and P. Kasulu. "IoT based smart energy meter using GSM." Materials Today: Proceedings 46 (2021): 4122–24. http://dx.doi.org/10.1016/j.matpr.2021.02.641.

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Prachi, Padmwar. "Smart Electric Energy Meter Based on IoT." International Journal for Research in Applied Science and Engineering Technology 6, no. 4 (April 30, 2018): 4651–55. http://dx.doi.org/10.22214/ijraset.2018.4764.

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Reddy, V. Raveendra. "GSM Based Smart Energy Meter using Arduino." International Journal for Research in Applied Science and Engineering Technology 7, no. 3 (March 31, 2019): 2073–80. http://dx.doi.org/10.22214/ijraset.2019.3384.

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HIRANUMA, Kenji, Masataka KAWANA, Kunihiko MOURI, Masahiro OSAKABE, and Kazutomo INUKAI. "A214 Energy Saving Experiment by Smart Meter." Proceedings of the National Symposium on Power and Energy Systems 2012.17 (2012): 233–34. http://dx.doi.org/10.1299/jsmepes.2012.17.233.

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Biswas, Sudeshna, Himanshu ., Sushmita Ghosh, Payali Das, Kaushik Saha, and Swades De. "Efficient Data Transfer Mechanism for DLMS/COSEM Enabled Smart Energy Metering Platform." ACM SIGMETRICS Performance Evaluation Review 50, no. 4 (April 26, 2023): 14–16. http://dx.doi.org/10.1145/3595244.3595250.

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We report our implementation of DLMS/COSEM (Device Language Message Specification/Companion Specification for Energy Metering) enabled advanced smart metering data collection using our in-house developed data-driven multivariate data pruning technique. Aiming at near real-time smart metering data collection, a working model of a smart energy meter with a data pruning subsystem is developed and incorporated with the data pruning and communication module. The implementation of DLMS/COSEM service layer enables standard pull-based data collection from multiple meters that are connected with a commercial head-end system. Our implementation enables to fetch smart meter readings from multiple meters with significantly reduced data footprint. Our empirical results demonstrate that, dynamic data pruning capability reduces the number of samples by nearly 85%. The bandwidth saving increases with the increasing batch size, by accounting for all protocol overheads the endto- end communication bandwidth saving is up to 85%. The DLMS overhead is negligible for larger batch size.

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Khan, Shagufta, and Manoj Saini. "A comprehensive study on energy meters and power tampering attempts." International Journal of Applied Power Engineering (IJAPE) 10, no. 4 (December 1, 2021): 315. http://dx.doi.org/10.11591/ijape.v10.i4.pp315-325.

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Electricity is the basic need of today’s scenario. In the 21st generation, growth and development is totally dependent on electricity. Thus, measurement of consumption of electricity becomes much more important. Energy meter used to measure consumed electricity by building or electrical equipment of various end users. This paper focuses on review of energy meters and power tampering attempts. It will highlight the development of meters from electromechanical meters to smart meters. The need of an era is to develop a more reliable and intelligent smart energy meters. This paper also discussed type of power tampering efforts in energy meters for power theft. The concept of smart meters for removing the power tampering efforts is also discussed.

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Journal articles on the topic 'Smart energy meter'

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