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Open access Aug 2026

State-Aware Dynamic Retrieval and Persistence-Anchored Expert Fusion for Very Short-Term Wind Power Forecasting Without Numerical Weather Prediction

This study proposes state-aware dynamic retrieval and persistence-anchored expert fusion (SADR-PAEF), which primarily reduces squared-error and large-deviation risk while providing adaptive interval calibration under NWP-unavailable conditions.

Wei Zhang, Yu-Yu Liu, Hong Li · 0 citations

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