A method for short-term wind power forecasting under extreme weather conditions based on meteorological factor interpretability and hybrid deep learning algorithms
Accurate forecasting of renewable energy generation is the foundation for all renewable energy consumption technologies. Currently, wind power forecasting techniques have become relatively mature under normal weather conditions. However, under extreme weather conditions, the difficulty of research i...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIP Publishing LLC
2025-04-01
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| Series: | AIP Advances |
| Online Access: | http://dx.doi.org/10.1063/5.0250465 |
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