Wind Power Forecasting with Deep Learning Networks: Time-Series Forecasting
Studies have demonstrated that changes in the climate affect wind power forecasting under different weather conditions. Theoretically, accurate prediction of both wind power output and weather changes using statistics-based prediction models is difficult. In practice, traditional machine learning mo...
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Auteurs principaux: | Wen-Hui Lin, Ping Wang, Kuo-Ming Chao, Hsiao-Chung Lin, Zong-Yu Yang, Yu-Huang Lai |
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Format: | article |
Langue: | EN |
Publié: |
MDPI AG
2021
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Accès en ligne: | https://doaj.org/article/76f14cb35b3b4ddc91491d89be934c58 |
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