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UniWind: Day-Ahead Wind Power Forecasting via Physics-Informed State Routing

Xu, Ronghui et al.
arXiv (All) · Papers
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machine-learning
Accurate day-ahead wind power forecasting is essential for cost-effective power-system operation. Wind power generation is primarily driven by future meteorological conditions while retaining temporal dependencies in power generation. In practice, observed wind-farm power reflects both meteorology-d
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