Towards Intelligent Energy Security: A Unified Spatio-Temporal and Graph Learning Framework for Scalable Electricity Theft Detection in Smart Grids

Researchers have developed SmartGuard Energy Intelligence System (SGEIS), an AI framework that combines machine learning, deep learning, and graph neural networks to detect electricity theft in smart grids. The system achieved 96% accuracy in identifying high-risk nodes and demonstrates strong performance with practical applications for energy security.