Enhanced wind power forecasting using machine learning, deep learning models and ensemble integration
Abstract The inherent variability of wind and solar energy introduces fluctuations in power generation, making accurate forecasting essential for maintaining the grid’s stability. This study addresses key research gaps in wind energy forecasting, including the inability of traditional statistical mo...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-05250-3 |
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