International Scientific Journal of Engineering and Management

An International Scholarly || Multidisciplinary || Open Access || Indexing in all major Database & Metadata
The journal follows the UGC Guidelines and is evaluated for inclusion in the Web of Science
ISSN: 2583-6129

Impact Factor: 8.072

Electricity Theft Detection Using IOT

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Published 20 June 2026
Updated 20 June 2026

Electricity Theft Detection Using IOT

Dr. A. M. Biradar
Guide

Renuka Uday Danadare

Research Student, Department of Electronics and Telecommunication Engineering

Deogiri Institute of Engineering & Management Studies, Chh. Sambhajinagar.

 

 

ABSTRACT
Electricity theft is one of the major problems faced by power distribution companies worldwide. Unauthorized usage of electrical energy causes significant financial losses and affects the reliability of power distribution systems. To overcome this issue, an IoT-based Electricity Theft Detection System is proposed using STM32 microcontroller technology. The system continuously monitors electrical parameters such as current, voltage, and power through ACS712 current sensors installed at different points of the distribution network. The measured data are compared to identify abnormal variations indicating electricity theft. Whenever theft is detected, the system immediately generates an alert through a GSM module and uploads the data to the IoT cloud platform for remote monitoring. The proposed system provides real-time monitoring, instant notification, and efficient theft detection. This approach can help electricity boards reduce revenue losses and improve power management efficiency.

Keywords: Electricity Theft Detection, IoT, STM32, ACS712 Current Sensor, GSM Module, Smart Meter, ThingSpeak.

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