Advanced International Journal for Research

E-ISSN: 3048-7641   •   Impact Factor: 9.11

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Energy Theft Detection Using IOT

Author(s) Ms. Sakshi Shivaji Adole, Mr. Nishant Sandip Khule, Mr. Harshal Ravindra Mali, Mr. Tejas Vinod Nandan, Prof. Chandrakant Suresh Aher
Country India
Abstract Energy theft causes major non-technical losses and reduces grid reliability. This project proposes an IoT-based system using smart meters to monitor electrical parameters in real time. Machine learning and rule-based analytics detect abnormal consumption and theft, generating instant alerts. The solution improves detection accuracy, reduces manual effort, and supports sustainable smart grid management.
Keywords Anomaly Detection Algorithm, Smart Meters, IoT Sensors, Real-Time Monitoring, Data Imbalance, Advanced Metering Infrastructure, Automated Alerts.
Field Computer > Data / Information
Published In Volume 7, Issue 1, January-February 2026
Published On 2026-02-16
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E-ISSN 3048-7641
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