Relevant bibliographies by topics / Smart electrical meter

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Smart electrical meter'

Author: Grafiati
Published: 5 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Smart electrical meter"

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Martinez-Blanco, Ma, Julio Soriano-Romero, Arturo Serrano-Muñoz, et al. "IoT Based Smart Electrical Meter for Smart Homes." EAI Endorsed Transactions on Internet of Things 6, no. 21 (2020): 165672. http://dx.doi.org/10.4108/eai.13-7-2018.165672.

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M R, Kiran. "Smart Energy Meter." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem47742.

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Abstract -Energy management is a critical aspect of modern smart grids, requiring real-time monitoring and analysis of electrical power consumption to enhance efficiency and sustainability. This paper presents the design and implementation of a Smart Energy Meter for daily monitoring of electricity usage, aimed at providing consumers with real-time data and insights to optimize energy consumption. The system is built using an Arduino Uno microcontroller interfaced with current and voltage sensors to measure power usage accurately. The collected data is processed and transmitted to an IoT-enabl
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A, Narendra Babu, V. L. D. Kavya Ch, Praneetha A, et al. "Smart Energy Meter." Indian Journal of Science and Technology 15, no. 29 (2022): 1451–57. https://doi.org/10.17485/IJST/v15i29.1241.

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Abstract <strong>Objectives:</strong>&nbsp;To present a Smart Energy Meter (SEM) that reduces errors effectively while generating the electricity bill.&nbsp;<strong>Methods:</strong>&nbsp;This SEM confluence of modern technology and existing electrical architecture, yet it is a low-cost device suitable for the Indian environment. The proposed SEM is only incorporated with a current sensor and other associated circuitry.&nbsp;<strong>Findings:</strong>&nbsp;A quantitative comparison between our SEM and other existing SEMs revealed that the proposed SEM is superior in the economy, circuit comple
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Wu, Chenning, Martin Hutton, and Manuchehr Soleimani. "Smart Water Meter Using Electrical Resistance Tomography." Sensors 19, no. 14 (2019): 3043. http://dx.doi.org/10.3390/s19143043.

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Smart flow monitoring is critical for sewer system management. Obstructions and restrictions to flow in discharge pipes are common and costly. We propose the use of electrical resistance tomography modality for the task of smart wastewater metering. This paper presents the electronics hardware design and bespoke signal processing to create an embedded sensor for measuring flow rates and flow properties, such as constituent materials in sewage or grey water discharge pipes of diameters larger than 250 mm. The dedicated analogue signal conditioning module, zero-cross switching scheme, and real-t
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YAMAMOTO, Yuki, Ryohei HISASHIKI, and Hisayoshi MURAMATSU. "Smart Meter: How the Advanced Power Meter Works." Journal of The Institute of Electrical Engineers of Japan 143, no. 12 (2023): 786–89. http://dx.doi.org/10.1541/ieejjournal.143.786.

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Joseph,, B., P. Gayathri, A. .Vamshi, B. .Prabhas, and G. .Sridhar. "IOT Based Smart Energy Meter." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem43659.

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This paper proposes an IoT based smart energy meter designed to monitor and manage electricity consumption efficiently. The system utilizes a combination of sensors and IoT technology to provide real-time monitoring of energy usage. It integrates an energy measurement module, a microcontroller Arduino UNO, ESP8266 Wi-Fi module, and a cloud platform ThingSpeak for data visualization and analysis. Key electrical parameters such as voltage, current, power, power factor, frequency and energy are measured and transmitted to the cloud for remote access. The smart energy meter enables users to monito
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Yacouba, Yazid Hambally, Amadou Diabagaté, Abdou Maiga, and Adama Coulibaly. "Multi-agent System for Management of Data from Electrical Smart Meters." International Journal of Information Technology and Computer Science 13, no. 1 (2021): 18–43. http://dx.doi.org/10.5815/ijitcs.2021.01.02.

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The smart meter can process sensor data in a residential grid. These sensors transmit different parameters or measurement data (index, power, temperature, fluctuation of voltage and electricity, etc.) to the smart meter. All of these measurement data can come in different ways at the smart meter. The sensors transmit each measurement data to the smart meter. In addition, the collection of this data to a central system is a significant concern to ensure data integrity and protect the privacy of residents. The complexity of these data management also lies in their volume, frequency, and scheduli
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Rashid, MofeedTurky. "Real Time Wireless Smart Electrical Energy Meter System." Engineering and Technology Journal 32, no. 11 (2014): 2684–99. http://dx.doi.org/10.30684/etj.32.11a.7.

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Sulaiman, S. M., P. Aruna Jeyanthy, and D. Devaraj. "Smart Meter Data Analysis Using Big Data Tools." Journal of Computational and Theoretical Nanoscience 16, no. 8 (2019): 3629–36. http://dx.doi.org/10.1166/jctn.2019.8338.

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In recent years, the problem of electrical load forecasting gained attention due to the arrival of new measurement technologies that produce electrical energy consumption data at very short intervals of time. Such short term measurements become voluminous in very short time. The availability of big electrical consumption data allows machine learning techniques to be employed to analyze consumption behavior of every consumer on a greater detail. Predicting the consumption of a residential customer is crucial at this point of time because tailor-made consumer-specific tariffs will play a vital r
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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 (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 locat
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Dissertations / Theses on the topic "Smart electrical meter"

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Al-Wakeel, Ali. "Integrated load and state estimation using domestic smart meter measurements." Thesis, Cardiff University, 2016. http://orca.cf.ac.uk/93907/.

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The UK Government is promoting the decarbonisation of the power sector. The electrification of transport and heating, installation of distributed generators, development of smart grids and creation of an electricity and gas smart metering system are in progress. Higher penetrations of distributed generation and low carbon loads may lead to operational difficulties in distribution networks. Therefore, increased real-time monitoring and control becomes a necessary requirement. Distribution network operators will have available to them smart meter measurements to facilitate safe and cost-effectiv
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Leysen, Raphaël. "An analysis of smart meter deployment in Sweden with applicability to the case of India." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-232066.

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The energy landscape as we know it today is undergoing a radical revolution. New strategies for grid management, smart grids, are vital to facilitate this development in the power sector. Advanced Metering Infrastructure (AMI), devices often denoted as Smart Meters, is the most mature and widespread of these technologies today. In a first stage, this thesis studies smart meters in Sweden reflecting on the first wave roll-out and while on the verge of a second wave technology deployment. The initial drivers behind smart meters are studied as well as the consequences that the deployment has had
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Macias, Macias Raul. "Towards Wearable Spectroscopy Bioimpedance Applications Power Management for a Battery Driven Impedance Meter." Thesis, Högskolan i Borås, Institutionen Ingenjörshögskolan, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-19428.

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In recent years, due to the combination of technological advances in the fields ofmeasurement instrumentation, communications, home-health care and textile-technology thedevelopment of medical devices has shifted towards applications of personal healthcare.There are well known the available solutions for heart rate monitoring successfully providedby Polar and Numetrex. Furthermore new monitoring applications are also investigated. Amongthese non-invasive monitoring applications, it is possible to find several ones enable bymeasurements of Electrical Bioimpedance.Analog Devices has developed th
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Yang, Cheng. "Development of Intelligent Energy Management System Using Natural Computing." University of Toledo / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1341375203.

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Blom, Rikard. "Advanced metering infrastructure reference model with automated cyber security analysis." Thesis, KTH, Elkraftteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-204910.

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European Union has set a target to install nearly 200 million smart metersspread over Europe before 2020, this leads into a vast increase of sensitiveinformation flow for Distribution System Operators (DSO’s), simultaneously thisleads to raised cyber security threats. The in and outgoing information of the DSOneeds to be processed and stored by different Information technology (IT)- andOperational Technology (OT)-systems depending on the information. High demandsare therefore required of the enterprise cyber security to be able to protect theenterprise IT- and OT-systems. Sensitive customer in
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Ding, Ni. "Load models for operation and planning of electricity distribution networks with smart metering data." Thesis, Grenoble, 2012. http://www.theses.fr/2012GRENT092/document.

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En 2010, ERDF (Electricité Réseau Distribution France) a entamé la mise en place du projet « Linky » dont l'objectif est d'installer 35 millions de compteurs intelligents en France. Ces compteurs permettront de collecter les données de consommation en « temps réel », avec lesquelles des modèles de charge plus précis pourront être envisagés. Dans ce contexte, cette thèse définit deux objectifs: la définition de modèles prédictifs de charge pour la conduite et la conception de modèles d'estimation de charge pour la planification. En ce qui concerne la conduite, nous avons développés deux modèles
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Drummond, Jose. "An analysis of new functionalities enabled by the second generation of smart meters in Sweden." Thesis, Linnéuniversitetet, Institutionen för fysik och elektroteknik (IFE), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-105604.

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It is commonly agreed among energy experts that smart meters (SMs) are the key component that will facilitate the transition towards the smart grid. Fast-peace innovations in the smart metering infrastructure (AMI) are exposing countless benefits that network operators can obtain when they integrate SMs applications into their daily operations.  Following the amendment in 2017, where the Swedish government dictated that all SMs should now include new features such as remote control, higher time resolution for the energy readings and a friendly interface for customers to access their own data;
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Saputro, Nico. "Performance Optimization of Network Protocols for IEEE 802.11s-based Smart Grid Communications." FIU Digital Commons, 2016. http://digitalcommons.fiu.edu/etd/2555.

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The transformation of the legacy electric grid to Smart Grid (SG) poses numerous challenges in the design and development of an efficient SG communications network. While there has been an increasing interest in identifying the SG communications network and possible SG applications, specific research challenges at the network protocol have not been elaborated yet. This dissertation revisited each layer of a TCP/IP protocol stack which basically was designed for a wired network and optimized their performance in IEEE 802.11s-based Advanced Metering Infrastructure (AMI) communications network ag
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Depuru, Soma Shekara. "Modeling, Detection, and Prevention of Electricity Theft for Enhanced Performance and Security of Power Grid." University of Toledo / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1341522225.

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GHORBANI, SONIYA. "Anomaly Detection in Electricity Consumption Data." Thesis, Högskolan i Halmstad, Akademin för informationsteknologi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-35011.

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Distribution grids play an important role in delivering electricityto end users. Electricity customers would like to have a continuouselectricity supply without any disturbance. For customerssuch as airports and hospitals electricity interruption may havedevastating consequences. Therefore, many electricity distributioncompanies are looking for ways to prevent power outages.Sometimes the power outages are caused from the grid sidesuch as failure in transformers or a break down in power cablesbecause of wind. And sometimes the outages are caused bythe customers such as overload. In fact, a very
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Books on the topic "Smart electrical meter"

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Doris, Elizabeth. Government program briefing: Smart metering. National Renewable Energy Laboratory, 2011.

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Office of the Auditor-General of Zimbabwe. Report of the Auditor-General on the management of prepayment and smart metering project by Zimbabwe Electricity Transmission and Distribution Company (ZETDC) a subsidiary of ZESA Holdings (Private) Limited under the Ministry of Energy and Power Development. Office of the Auditor-General, 2017.

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Research, California Energy Commission Public Interest Energy. Integrating new and emerging technologies into the California smart grid infrastructure: A report on a smart grid for California : PIER final project report. California Energy Commission, 2008.

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Appraising the Economics of Smart Meters. Taylor & Francis Group, 2021.

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Appraising the Economics of Smart Meters. Taylor & Francis Group, 2020.

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Smart Meters And The Smart Grid Privacy And Cybersecurity Considerations. Nova Science Publishers, 2012.

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Torriti, Jacopo. Appraising the Economics of Smart Meters: Costs and Benefits. Taylor & Francis Group, 2020.

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Torriti, Jacopo. Appraising the Economics of Smart Meters: Costs and Benefits. Taylor & Francis Group, 2020.

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Torriti, Jacopo. Appraising the Economics of Smart Meters: Costs and Benefits. Taylor & Francis Group, 2020.

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Torriti, Jacopo. Appraising the Economics of Smart Meters: Costs and Benefits. Taylor & Francis Group, 2020.

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Book chapters on the topic "Smart electrical meter"

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Mondal, Manoj Kumar, Sai Swaraj Shaw, and Debani Prasad Mishra. "Online-Based Smart Energy Meter." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-0193-5_27.

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Jebroni, Zakariae, Hajar Chadli, Khalid Salmi, Mohammed Saber, and Belkassem Tidhaf. "LoRa Based Smart Electrical Energy Meter." In Advances in Smart Technologies Applications and Case Studies. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-53187-4_78.

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Shin, Yuseung, and Jaeyun Jeong. "Smart Farm Management System Using Humidity Meter." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-2287-1_104.

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Jain, T., S. Pradhan, and S. Mishra. "A Smart Energy Meter-Based Home Recommender System." In Lecture Notes in Electrical Engineering. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8752-8_21.

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Zhu, Liehuang, Zijian Zhang, and Chang Xu. "Privacy-Preserving Meter Reading Transmission in Smart Grid." In SpringerBriefs in Electrical and Computer Engineering. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3235-6_3.

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Agrawal, Shalu, Nipun Batra, Karthik Ganesan, Kavita Vaishanaw, and Sunil Mani. "Smart Meter Data Enabled Transition to Energy Efficient Cooling." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9008-2_31.

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Balamurugan, S., K. Abishek, D. Jeyadhitya, R. Rahul Kumar, and A. Rakshan. "Development of Deviation Settlement Mechanism-Based ABT Smart Meter." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-0089-2_24.

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Jha, Karunakar, Hariom Sharma, and Tushar Sharma. "Towards Smart Utilization, Maintenance and Planning of Distribution Transformers Using Smart Meter Data." In Lecture Notes in Electrical Engineering. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8727-3_45.

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Zhang, Baoliang, Penghe Zhang, Yang Xue, Tao Wang, and Lingqing Guo. "Prediction of Smart Meter Life Assessment Based on Weibull Distribution." In Lecture Notes in Electrical Engineering. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-3648-5_170.

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Villani, Clemente, Simone Benatti, Davide Brunelli, and Luca Benini. "A Contactless, Energy-Neutral Power Meter for Smart City Applications." In Lecture Notes in Electrical Engineering. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55071-8_23.

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Conference papers on the topic "Smart electrical meter"

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Gowrishankar, R., B. Senthilkumar, N. Prakash, Visal prewin KS, Harshini S, and Dhanalakshmi P. "Smart Electric Meter Using Lora." In 2024 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES). IEEE, 2024. https://doi.org/10.1109/icses63760.2024.10910757.

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B, Mahariba Thameena, S. Jeeva, Vithyavigasini S P, J. Vishnupriyan, A. A. Sri Krishna, and R. Siddharth. "Smart energy meter with power theft detection." In 2024 10th International Conference on Electrical Energy Systems (ICEES). IEEE, 2024. https://doi.org/10.1109/icees61253.2024.10776838.

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Umamaheswari, S., S. Mayilraja, S. A. Nithiish Ragavendra, and S. Praveen Kumar. "Advancement in Smart Prepaid Electric Meter System." In 2025 3rd International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA). IEEE, 2025. https://doi.org/10.1109/icaeca63854.2025.11012584.

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Hossain, Md Saffat, and Md Mehedi Hassan. "Smart Energy Meter with Real Time Monitoring System." In 2024 13th International Conference on Electrical and Computer Engineering (ICECE). IEEE, 2024. https://doi.org/10.1109/icece64886.2024.11024970.

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Srimontha, Pongsathorn, Prayut Jiamrittiwong, and Nutdechatorn Puangngernmak. "Analyzing Appliance Status in Small Residences Through Smart Meter Data." In 2025 13th International Electrical Engineering Congress (iEECON). IEEE, 2025. https://doi.org/10.1109/ieecon64081.2025.10987657.

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Bassi, Vincenzo, Luis F. Ochoa, Tansu Alpcan, et al. "Demonstrating Electrical Model-Free Voltage Calculations with Real Smart Meter Data." In 2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE). IEEE, 2024. https://doi.org/10.1109/isgteurope62998.2024.10863309.

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Li, Xiong, Wei Liu, Chunguang Lu, and Chaoliang Wang. "Design of low frequency smart electric energy meter calibration system." In 2024 3rd International Conference on Energy, Power and Electrical Technology (ICEPET). IEEE, 2024. http://dx.doi.org/10.1109/icepet61938.2024.10627460.

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Varshney, Gunjan, Utkarsh Anand, Sohil Gupta, Mohd Anas, and Mohammad Areeb Husain. "Modeling and Simulation of Prepaid GSM based Smart Energy Meter with Load Management." In 2024 International Conference on Electrical Electronics and Computing Technologies (ICEECT). IEEE, 2024. http://dx.doi.org/10.1109/iceect61758.2024.10739209.

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Alatba, Sura Rahim, Hudsein Adnan Obaid, Waleed Hameed, and Saif O. Husain. "Load Identification Method of Household-Smart Meter Based on Decision Tree Algorithm." In 2024 International Conference on Smart Systems for Electrical, Electronics, Communication and Computer Engineering (ICSSEECC). IEEE, 2024. http://dx.doi.org/10.1109/icsseecc61126.2024.10649471.

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Zhang, Penghe, Cong Wang, Chong Li, Qiwen Zhang, and Yunpeng Gao. "Improved PSO for Smart Meter Metering Error Correction Under Constant Magnetic Field Interference." In 2024 3rd International Conference on Energy and Electrical Power Systems (ICEEPS). IEEE, 2024. http://dx.doi.org/10.1109/iceeps62542.2024.10693048.

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