Probabilistic prediction intervals of short-term wind speed using selected features and time shift dependent machine learning models
Forecasting wind speed plays an increasingly essential role in the wind energy industry. However, wind speed is uncertain with high changeability and dependency on weather conditions. Variability of wind energy is directly influenced by the fluctuation and unpredictability of wind speed. Traditional...
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| Main Authors: | Rami Al-Hajj, Gholamreza Oskrochi, Mohamad M. Fouad, Ali Assi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
AIMS Press
2025-01-01
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| Series: | Mathematical Biosciences and Engineering |
| Subjects: | |
| Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2025002 |
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