Energy Theft Detection Using AI and IoT |
Author(s): |
| Tejas Nandan , Maratha Vidya Prasarak Samaj Rajarshi Shahu Maharaj Polytechnic Nashik; Harshal Mali, Maratha Vidya Prasarak Samaj Rajarshi Shahu Maharaj Polytechnic Nashik; Nishant Khule, Maratha Vidya Prasarak Samaj Rajarshi Shahu Maharaj Polytechnic Nashik; Sakshi Adole, Maratha Vidya Prasarak Samaj Rajarshi Shahu Maharaj Polytechnic Nashik; Chandrakant Aher , Maratha Vidya Prasarak Samaj Rajarshi Shahu Maharaj Polytechnic Nashik |
Keywords: |
| Anomaly Detection Algorithm, Smart Meters, IoT Sensors, Real-Time Monitoring, Data Imbalance, Advanced Metering Infrastructure |
Abstract |
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Energy theft is a big problem that leads to financial losses and weakens the stability of power distribution systems. Traditional ways of detecting theft often don't work well against modern methods like tampering with meters or making illegal connections. To solve this, our work suggests using Artificial Intelligence (AI) and the Internet of Things (IoT). Smart meters and IoT sensors can collect electricity usage data in real time, and machine learning can then analyze this data to spot unusual patterns and possible theft. This system makes theft detection more accurate, allows real-time monitoring, and provides a scalable and affordable way to improve energy security and support sustainable power distribution. |
Other Details |
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Paper ID: IJSRDV13I80020 Published in: Volume : 13, Issue : 8 Publication Date: 01/11/2025 Page(s): 19-21 |
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