Short-term prediction of wind power density using convolutional LSTM network
Efficient extraction of renewable energy from wind depends on the reliable estimation of wind characteristics and optimization of wind farm installation and operation conditions. There exists uncertainty in the prediction of wind energy tapping potential based on the variability in wind behavior. Th...
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| Auteurs principaux: | , , , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
University of Belgrade - Faculty of Mechanical Engineering, Belgrade
2021
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/84fcd3961924415e96e1f4239c7721c1 |
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