Design of IoT-based smart energy meter for e-billing and prepaid electricity

Conference paper

Sinha, D., Bhrahmachary, S., Bhattacharya, S., Chaudhuri, N., Manna, S. and Bandyopadhyay, C. 2024. Design of IoT-based smart energy meter for e-billing and prepaid electricity. https://doi.org/10.1007/978-981-97-3485-6_22
AuthorsSinha, D., Bhrahmachary, S., Bhattacharya, S., Chaudhuri, N., Manna, S. and Bandyopadhyay, C.
TypeConference paper
Description

This study focuses on the utilization of an Internet of Things (IoT)-based smart energy meter for the purpose of wirelessly analyzing power usage in electrical systems. The objective is to alleviate the need for manual processing of electricity bills, enhance demand management, facilitate prepaid electricity supply, and reduce instances of power theft. With the escalating demand for electricity, the manual tracking and prevention of power theft pose significant challenges. The Internet of Things (IoT) is employed for the purpose of managing power consumption by consumers, implementing prepaid electricity supply systems, and ensuring the efficient operation of microgrids through the regulation of power generation and demand ratios. In this study, an Internet of Things (IoT)-based smart energy meter is developed utilizing the ESP8266 as a Wi-Fi module, the Arduino Uno as an interface microcontroller, and voltage and current sensors to accurately measure power usage. The collected data is stored and accessed through the ThingSpeak cloud platform. Additionally, a relay is incorporated into the system to regulate power flow for a prepaid system.

KeywordsIoT; Smart meter; E-billing; Prepaid electricity; Power theft; Internet of Things
Year2024
Conference1st International Conference on Recent Advances in Artificial Intelligence & Smart Applications
Digital Object Identifier (DOI)https://doi.org/10.1007/978-981-97-3485-6_22
Official URLhttps://link.springer.com/chapter/10.1007/978-981-97-3485-6_22
File
File Access Level
Restricted
Book titleRAAISA: International Conference on Recent Advances in Artificial Intelligence & Smart Applications
Book editorMandal, J. K.
Hinchey, M.
Chakrabarti, S.
Web address (URL) of conference proceedingshttps://link.springer.com/book/10.1007/978-981-97-3485-6?page=2#toc
References

1. Shinde S., Yadav Y., Sontakke B., Zapake P., IoT Based Smart Energy Meter, International Journal of Trend in Scientific Research and Development (IJTSRD) vol. 1 (6), 1151-1153 (2017).
2. Anad A., Choudhury Y., Yadav A., Mukherjee R., GSM Based Smart Energy Meter with Theft Detection and Load Control, Int. conf. on Signal processing and communication,
Noida, India, 2021, DOI:10.1109/ICSC53193.2021.9673274.
3. Sahoo S., Nikovski D., Muso T. and Tsuru K., Electricity Theft Detection Using SmartMeter Data, Innovative Smart Grid Technologies Conference (ISGT), IEEE Power & Energy
Society (2015).
4. Sayyed S.S., Choudhari R., Tribhuvan P., Salvi S., Amte A., Theft Detection and Disconnection in Automated Electricity Energy Meter: A Survey, International Journal for Research in Applied Science & Engineering Technology (IJRASET) vol. 6 (1), 2550-2554 (2018).
5. Ogu R. E., Chukwudebe G. A., Ezenugu I. A., An IoT Based Tamper Prevention System for Electricity Meter, American Journal of Engineering Research (AJER) vol. 5 (10), 347-353 (2016).
6. Bonde M. N., Patil R. K., Mahajan U. T., Ansari S., Dhande H. V., IoT Based Energy Meter and Theft Detection, International Journal of Innovations in Engineering and Science, vol. 4(10), 92-95, (2019).
7. Shendre R., Deulkar P., Sakhare J., Bopche R., Shahu A., Jais V.V., IoT based 8. Automatic Reading & Billing using Smart Energy Meter, International Journal of Research
in Engineering, Science and Management, vol. 2(3), 889-891, (2019).
9. Vaidya P.S., Kature C. S., Waghmare S. G., Dhumane S. A., IoT Based Energy Meter Billing System, International Journal of Advance Scientific Research and Engineering Trends,
ICCEME, vol 4(5), 4-6, (2019)

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Deposited23 Sep 2024
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