Divide-Conquer Transformer Learning for Predicting Electric Vehicle Charging Events Using Smart Meter Data

arXiv:2403.13246v1 Announce Type: new
Abstract: Predicting electric vehicle (EV) charging events is crucial for load scheduling and energy management, promoting seamless transportation electrification and decarbonization. While prior studies have focused on EV charging demand prediction, primarily for public charging stations using historical charging data, home charging prediction is equally essential. However, existing prediction methods may not be suitable due to the unavailability of or limited access to home charging data. To address this research gap, inspired by the concept of …

abstract arxiv charging cs.cy cs.lg data demand electric electric vehicle electrification energy energy management ev charging events home management prediction prior public scheduling smart studies transformer transportation type