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 paper...
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| Format: | Article |
| Language: | English |
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PeerJ Inc.
2021-09-01
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| Series: | PeerJ Computer Science |
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| Online Access: | https://peerj.com/articles/cs-732.pdf |