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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM7289
Volume:
5 |
3 |
Mar 2021
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Electricity theft and inefficient energy monitoring are major challenges faced by power distribution companies worldwide. Conventional energy meters lack real-time monitoring capability and are unable to detect unauthorized power usage effectively. This paper presents the design and implementation of an IoT based Smart Energy Meter with an Anti-Theft Detection System using ESP32. The proposed system measures electrical parameters such as voltage, current, power, and energy consumption using appropriate sensing modules. The collected data is processed by the ESP32 microcontroller and transmitted to a cloud based platform via Wi-Fi for real-time monitoring and analysis. The anti-theft mechanism is implemented by comparing the input current from the main supply with the output current delivered to the load. If a significant mismatch beyond a predefined threshold is detected, the system identifies it as a theft condition and sends an alert notification to the utility provider. By integrating Internet of Things technology with intelligent monitoring and control, the proposed solution enhances transparency, improves billing accuracy, and reduces non-technical losses. The system is scalable, and suitable for residential as well as commercial applications. The proposed system provides an accurate, cost-effective, and reliable solution for smart energy management and electricity theft prevention. Therefore, the IoT-based smart energy meter provides. Therefore, the IoT-based smart energy meter provides a smart, efficient, and cost-effective solution for monitoring electricity usage and detecting unauthorized power consumption in modern smart grid environments.
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Publication Date
9/2/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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