Author

Yuxuan Liang

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#artificial intelligence Preprint Aug 2026

A Behavior-Guided Online Probabilistic Forecasting Method for Electric vehicle Charging Loads

A behavior-guided online probabilistic forecasting framework that explicitly characterizes persistent station-specific patterns and recent behavioral changes is proposed, and a dual-timescale behavior representation is constructed to distinguish long-term charging characteristics from recent behavioral states and quant...

Cheng-Han Li, Qingxiang Liu, Yin-Liang Xu et al. · 0 citations

Preprint Jul 2026

Every Client Is an Environment: Federated De-confounding for Spatio-Temporal Forecasting

Federated learning has emerged as a promising paradigm for spatio-temporal forecasting (STF), enabling collaborative model training without sharing raw observations. Existing federated STF methods primarily regard cross-client heterogeneity as an optimization challenge and mitigate it through personalized approaches. H...

Qingxiang Liu, Anqi Liang, Heng Wang et al. · 0 citations