Data-Driven Thermal Modelling for Anomaly Detection in Electric Vehicle Charging Stations

no code implementations • 12 Jul 2022 • Pere Izquierdo Gómez, Alberto Barragan Moreno, Jun Lin, Tomislav Dragičević

This paper proposes a human-interpretable data-driven method for anomaly detection in EV charging stations, aiming to provide information for the condition monitoring and predictive maintenance of power converters within such a station.

Anomaly Detection