ENHANCEMENT OF DIGITAL ENERGY METER INTO A SMART ENERGY MONITORING AND ABNORMAL LOAD DETECTION SYSTEM
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The proposed project introduces design to incorporate smart energy elements in to a standard digital energy meter to apply the continuous energy monitoring and abnormal load detection features of a smart energy meter. This system incorporates ESP32 microcontroller, which is enhanced with a PZEM-004T v3.0 Energy Meter Module and an ACS current sensor to read the real-time voltage, current, power, and energy use. The system consists of a system of multiple relay controls to manage loads and a buzzer to indicate abnormal load conditions like over voltage, low voltage, overload and high energy consumption. The data obtained is shown on a LCD and can be viewed on ThingSpeak, an IoT analytics platform service to analyze and visualize data. The system also leverages machine learning capabilities on historical energy data gathered on the cloud by IoT to conduct the load forecasting. It forecasts the future power usage and allows intelligent and proactive energy control. This system is a cost-effective and reliable solution as it accurately monitors and identifies over load and can be used in smart grid and home automation applications.
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Sagar, S., Mahimavalli, G., Naveen, J., Reshma, C. & Devi, A. D. (2026). Enhancement of Digital Energy Meter into a Smart Energy Monitoring and Abnormal Load Detection System. International Journal of Science, Strategic Management and Technology, 02(04). https://doi.org/10.55041/ijsmt.v2i4.446
Sagar, S.R., et al.. "Enhancement of Digital Energy Meter into a Smart Energy Monitoring and Abnormal Load Detection System." International Journal of Science, Strategic Management and Technology, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i4.446.
Sagar, S.R.,G. Mahimavalli,J. Naveen,Ch. Reshma, and A. Devi. "Enhancement of Digital Energy Meter into a Smart Energy Monitoring and Abnormal Load Detection System." International Journal of Science, Strategic Management and Technology 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i4.446.
References
2.S. G. de Mattos Neto et al., “Energy Consumption Forecasting for Smart Meters Using Extreme Learning Machine Ensemble,” Sensors, vol. 21, no. 23, p. 8096, Dec. 2021, doi: 10.3390/s21238096.
3.WinHlaing, Somchai Thepphaeng, Varunyou Nontaboot , Natthanan Tangsunantham, Tanayoot Sangsuwan, “Implementation of WiFi-Based Single Phase Smart Meter for Internet of Things (IoT)”, 5th International Electrical Engineering Congress, March 201
4.Karpagam “IoT Based House Hold Security Systems”, International Journal of Advanced Research Trends in Engineering and Technology. Vol 4 Special Issue, March 2017
5.H, Azmi, N. A M. Leh, and N. A Kamaruzaman, "Modeling of energy meter using MATLAB/Simulink," in 2018 9th IEEE Control and System Graduate Research Colloquium (ICSGRC) , 2018, pp, 75-80: IEEE
6.A Rhesri, R Bennani, Y, B, Maissa, L Hajjaji, A Tamtaoui, and H, Dahmouni, "Development of a low-cost Internet of Things architecture for energy and environment monitoring in a University Campus,"2023 lOth International Conference on Future Internet of Things and 2023 10th International Conference on Future Internet of Things and Cloud (FiCloud) Cloud (FiCloud), 2023, pp, 181-185: IEEE
7.K, Mishra, S. Goyal, V. A Tikkiwal, and A Kumar, "An loT based smart energy management system," in 2018 4th international 2018 4th international conference on computing communication and automation (ICCCA) conforence on computing communication and automation (ICCCA) , 2018, pp, 1-3: IEEE
8.H. Shah, S. Khan, A Khan, L Khan, and S.M. Eldin, "Sustainable energy management using the Internet of Things (loT)," Plos one, voL 18, no. 6, p. e0283754, 2023.
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