PROACTIVE FAULT DETECTION IN ELECTRIC VEHICLE SUPPLY EQUIPMENT SYSTEMS USING TIME SERIES ANALYSIS FOR SHAPELET DISCOVERY

Certain aspects of the present disclosure provide techniques for predicting a fault of an electric vehicle supply equipment (EVSE). An example method includes obtaining time series data associated with operation of one or more EVSEs; detecting one or more shapelets within the time series data; providing at least one shapelet of the one or more shapelets to a fault detection machine learning model pre-trained on shapelets to detect EVSE faults; and obtaining, as output from the fault detection machine learning model, an indication of a state of the one or more EVSEs.