Anomaly-aware electric vehicle charging and battery storage management using smart-meter data and a GCN-BiLSTM autoencoder
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
Published online on July 20, 2026
Abstract
Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, Ahead of Print.
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 ...
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 ...