Anomaly-aware electric vehicle charging and battery storage management using smart-meter data and a GCN-BiLSTM autoencoder
This research develops a smart meter-based residential energy management system that uses advanced deep learning to detect anomalies in electricity consumption data and optimize power usage in homes with electric vehicles and battery storage. The proposed framework addresses the limitations of traditional smart meters,...