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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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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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PeerJ Inc.
2021
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| 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 |