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#artificial intelligence Preprint Sep 2026

State Transport Routing for Short-horizon Adaptation in Multi-horizon Photovoltaic Forecasting

The proposed state transport routing (STR), a lightweight adapter that refines the predictions of a frozen forecasting model, demonstrates the potential of structured state adaptation to improve short-term forecasting across different neural architectures without retraining the underlying models or altering their longe...

Yu-Qing Xu, Li-Guo Zhou, Ze-Hua Sun et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Horizon-specific Expert Fusion for Photovoltaic Power Forecasting

This study develops a hierarchical ensemble that combines temporal neural models, historical analogs, state climatology, and gradient-boosted trees to support horizon-specific combination as a useful forecasting strategy while showing that its advantage over strong individual models depends on the dataset and evaluatio...

Yu-Qing Xu, Li-Guo Zhou, Ze-Hua Sun et al. · 0 citations

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