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Deep Learning for Atmospheric Modeling: A Proof of Concept Using a Fourier Neural Operator on WRF Data to Accelerate Transient Wind Forecasting at Multiple Altitudes
Paulo Alexandre Costa Rocha, Jesse Van Griensven Thé, Victor Oliveira Santos and Bahram Gharabaghi Atmosphere 16(4) 394 (2025) https://doi.org/10.3390/atmos16040394
Development and trending of deep learning methods for wind power predictions