High-precision short-term predicting method of wind farm power under extreme low temperature conditions based on physics-informed neural network
Extreme cold weather may cause large-scale shutdowns and off-grid events in wind turbines, leading to significant power shortages. However, most existing wind power prediction methods assume ideal output conditions for wind turbines, which may lead to overestimation of short-term prediction accuracy...
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| Asıl Yazarlar: | , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Elsevier
2025-11-01
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| Seri Bilgileri: | International Journal of Electrical Power & Energy Systems |
| Konular: | |
| Online Erişim: | http://www.sciencedirect.com/science/article/pii/S0142061525006982 |
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