A combined model for short-term wind speed forecasting based on empirical mode decomposition, feature selection, support vector regression and cross-validated lasso

BACKGROUND: The planning and control of wind power production rely heavily on short-term wind speed forecasting. Due to the non-linearity and non-stationarity of wind, it is difficult to carry out accurate modeling and prediction through traditional wind speed forecasting models. METHODS: In the pap...

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Detalles Bibliográficos
Autor principal: Wang, Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Data Mining and Machine Learning
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8507474/
https://www.ncbi.nlm.nih.gov/pubmed/34712801
http://dx.doi.org/10.7717/peerj-cs.732

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8507474/
https://www.ncbi.nlm.nih.gov/pubmed/34712801
http://dx.doi.org/10.7717/peerj-cs.732

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