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A bi-level mode decomposition framework for multi-step wind power forecasting using deep neural network

The proportion of wind energy in global energy structure is growing rapidly, promoting the development of wind power forecasting (WPF) technologies to solve the uncertainty and intermittence of wind power generation. However, the nonlinear and stochastic features of wind power time series restrain t...

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Principais autores: Jingxuan Wu, Shuting Li, Juan C. Vasquez, Josep M. Guerrero
Formato: Artigo
Idioma:Inglês
Publicado: Elsevier 2024-07-01
Series:Energy Conversion and Management: X
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Acceso en liña:http://www.sciencedirect.com/science/article/pii/S2590174524001284
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