Electricity theft detection using Self-Attention mechanisms

Real-time IoT system to detect electricity theft using Arduino, ZMCT103C and ESP8266.

Final project of my master in Computer Science & Technology at the University Carlos III of Madrid. The work is developed within the European project AI-SMECOT: Artificial Intelligence Based Smart Meter - Grid an communication technologies for Critical Infrastructures.

Electricity theft is a major issue in regions like Karachi, where unauthorized consumption of electricity leads to significant losses for utility companies. This project provides a solution for detecting electricity theft using machine learning models. By analyzing various factors such as electricity usage, voltage fluctuations, and historical data

Electricity theft detection in smart grids Based on Deep Neural Network — Flask web app with 99% accuracy. Final Year Project.