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Deep generative model for probabilistic wind speed and wind power estimation at a wind farm
ArticleAbstract: This work introduces a novel method to generate probabilistic hub-height wind speed forecasts aimedPalabras claves:convolutional variational autoencoder, Generative model, hub-height wind, probabilistic forecasting, Wind powerAutores:Andrés A. Salazar, Che Y., Xiao F., Zheng J.Fuentes:scopusDesign of Hybrid Reconstruction Scheme for Compressible Flow Using Data-Driven Methods
ArticleAbstract: Existing numerical schemes used to solve the governing equations for compressible flow suffer from dPalabras claves:Compressible Flow, Computational Fluid Dynamics, Hybrid Schemes, Machine learningAutores:Andrés A. Salazar, Xiao F.Fuentes:scopusMultivariable neural network to postprocess short-term, hub-height wind forecasts
ArticleAbstract: This work introduces a novel error correction method for short-term, hub-height wind speed forecastiPalabras claves:hub-height wind, multivariable, neural network, postprocessing, short-termAutores:Andrés A. Salazar, Che Y., Xiao F., Zheng J.Fuentes:scopus