Ye Li

Multi-Scale Spatio-Temporal Graph Transformer with xLSTM for Electric Vehicle Charging Demand Prediction

A deep learning framework, STGFormer, is developed for citywide EV charging demand forecasting that consistently outperforms fifteen representative baseline models andMine multi-hop spatial correlations between geographically adjacent and functionally similar regions.