Short-term regional wind power forecasting for small datasets with input data correction, hybrid neural network, and error analysis

The security of power systems and electrical grids can be affected by the stochastic nature of wind energy. Therefore, reliable techniques for load forecasting and planning must be developed. This paper presents a model for short-term regional wind power forecasting based on small datasets. The mode...

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Detalles Bibliográficos
Autores principales:	Weichao Dong, Hexu Sun, Jianxin Tan, Zheng Li, Jingxuan Zhang, Yu Yang Zhao
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	K-means clustering Long short-term memory Multiscale mathematical morphological decomposition Short-term regional wind power forecasting Small dataset Stacked multilevel-denoising autoencoder Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/ecea42a3e20349f1a36dabc225abd7f2
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Short-term regional wind power forecasting for small datasets with input data correction, hybrid neural network, and error analysis

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