Improving the prediction of wind speed and power production of SCADA system with ensemble method and 10-fold cross-validation
This research used machine-learning-based forecasting models to estimate a Supervisory control and data acquisition system's wind speed and electricity production. Six machine-learning algorithms were used to anticipate wind speed and electricity generation: a light gradient boosting machine, G...
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| Format: | Article |
| Language: | English |
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Elsevier
2023-12-01
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| Series: | Case Studies in Chemical and Environmental Engineering |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666016423000567 |