Real-Time Anomaly Detection in Smart Grids Using Graph Neural Networks
This paper proposes a novel approach leveraging Graph Neural Networks to detect anomalies in smart grids by modeling the grid as a graph where nodes represent measurement points and edges represent electrical or communication connections, offering a scalable and effective solution for real-time anomaly detection in sma...