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PhysDiffWind: A physics-constrained retrieval-augmented diffusion framework for offshore wind speed forecasting
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DOI：10.1016/j.asoc.2026.114647.png)
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• A physics-constrained retrieval-augmented diffusion framework is proposed for offshore wind forecasting. • Retrieve multivariate sequences using temporal convolutional encoding and embedding similarity. • Incorporate physical constraints through pressure gradient and air density embeddings. • Extensive experiments demonstrate superior accuracy and uncertainty quantification over state-of-the-art baselines.
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6.6
论文数:
1.4W
被引数:
4.8W
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