Anomaly detection in power dispatch data networks based on graph convolutional networks (GCN)
A graph convolutional network (GCN)-based approach is developed for anomaly detection in power dispatch data networks, addressing the challenges of high-dimensional, non-Euclidean, and dynamic grid environments. The method begins with the construction of a graph that encodes both physical connectivity and operational i...