A DBSCAN-Based Data Cleaning and TCN-BiLSTM-PRGO Hybrid Model for Wind Power Forecasting
Wind power forecasting is essential for improving renewable energy exploitation and maintaining power system stability. However, influenced by factors such as the velocity and orientation of the wind and atmospheric pressure, wind power exhibits strong variability and uncertainty. Moreover, raw data...
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| Auteurs principaux: | , , , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
MDPI AG
2026-06-01
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| Collection: | Eng |
| Sujets: | |
| Accès en ligne: | https://www.mdpi.com/2673-4117/7/6/272 |
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