UniWind proposes a physics-informed state routing architecture that builds a physical prior via monotonic warping and applies state-specific corrections to produce unified wind power forecasts across farms.
A model combining convolutional neural network and lightgbm algorithm for ultra-short-term wind power forecasting.IEEE Access, 7:28309–28318, 2019
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UniWind: Toward Unified Day-Ahead Wind Power Forecasting via Physics-Informed State Routing
UniWind proposes a physics-informed state routing architecture that builds a physical prior via monotonic warping and applies state-specific corrections to produce unified wind power forecasts across farms.