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Zhuoran Ye

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Open access Aug 2026

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.

Ye Li, Zhuoran Ye, Bo Li et al. · 0 citations

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