Smart Electricity Theft Detection Using AI and IoT with Auto Power Cut and Web Monitoring

Author(s)	Mr. Mohanraj M, Prof. Vasantha kumar C, Mr. Dineshvishnu M, Ms. Janaki K, Ms. Karthika S
Country	India
Abstract	Electricity theft is a major issue affecting power distribution systems, leading to significant financial losses and reduced efficiency. This paper presents an AI and IoT-based real-time electricity theft detection system that monitors electrical parameters such as current and voltage using sensors. The collected data is transmitted through an ESP32 microcontroller to a server for analysis. A machine learning model is used to identify abnormal consumption patterns and detect potential theft. The system also incorporates Explainable AI techniques to provide transparency in decision-making. Upon detection of theft, alerts are generated and an automatic power cut-off mechanism is triggered using a relay. A web-based dashboard is developed for real-time monitoring and visualization. The proposed system is cost-effective, accurate, and scalable for practical deployment.
Keywords	AI, IoT, Electricity Theft Detection, Machine Learning, Smart Grid, ESP32, Real-Time Monitoring.
Field	Engineering
Published In	Volume 8, Issue 3, May-June 2026
Published On	2026-05-05

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International Journal For Multidisciplinary Research