Fraud Models in the Energy Sector - Using AI for Smart Meter Theft Detection

Explore a technical practitioner-level talk on developing AI-driven fraud detection models for smart meters in the energy sector. Delve into Reyam Enad's presentation from EDF, focusing on leveraging artificial intelligence to combat energy theft. Gain insights into the application of data science in the utilities industry, specifically addressing the challenges of detecting fraudulent activities in electric energy consumption. Learn about the intricacies of smart meter technology and its role in monitoring and recording energy usage. Discover how advanced analytics and machine learning techniques are employed to identify anomalies and potential theft patterns. This 19-minute session, part of the Data Science Festival MayDay event 2024, offers valuable knowledge for professionals interested in the intersection of data science, energy management, and fraud prevention.

Fraud models in the energy sector