Survey On Anomaly Anomaly Detection in Smart Electric Meters for Detecting Faults and Misuse of Electric Energy Consumption

Survey On Anomaly Anomaly Detection in Smart Electric Meters for Detecting Faults and Misuse of Electric Energy Consumption

Keyur Kulkarni1, Rahul Dantakale2, Shalaka Mande3 , Sakshi  Kshatriya4 , Prof. Mayuri Agrawal5

1,2,3,4 - Final year students of Computer Engineering Department of Smt. Kashibai Navale college of Engineering, Pune

5 – Prof. of Computer Engineering Department of Smt. Kashibai Navale college of Engineering, Pune

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Abstract - This paper introduces an innovative approach to address faults and misuse in electric energy consumption by employing anomaly detection techniques within smart electric meters. The system aims to enhance fault detection and curb instances of misuse or theft of electric energy through the utilization of advanced metering technologies. By leveraging anomaly detection algorithms, the smart meters can identify irregular patterns in energy usage, signaling potential faults or unauthorized activities. The proposed system employs sophisticated data analysis mechanisms to scrutinize energy consumption patterns, thereby distinguishing anomalies from regular usage. Through this process, it effectively identifies potential faults in the system and instances of energy misuse or theft. The paper elucidates the use of anomaly detection algorithms, data analysis techniques, and smart metering infrastructure to enhance fault detection and prevent unauthorized energy consumption. The outcome demonstrates promising results in improving the overall reliability and security of energy distribution systems while minimizing instances of misuse or theft.

Key Words:  Anomaly Detection, Smart Electric Meters, Fault Detection, Energy Misuse.