A newly developed integrative bio-inspired artificial intelligence model for wind speed prediction
Accurate wind speed (WS) modelling is crucial for optimal utilization of wind energy. NumericalWeather Prediction (NWP) techniques, generally used for WS modelling are not only less cost-effective but also poor in predicting in shorter time horizon. Novel WS prediction models based on the multivaria...
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| Main Authors: | , , , , , , , |
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| 格式: | Article |
| 語言: | English |
| 出版: |
Institute of Electrical and Electronics Engineers Inc.
2020
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| 主題: | |
| 在線閱讀: | http://eprints.utm.my/id/eprint/87661/1/ZaherMundherYaseen2020_ANewlyDevelopedIntegrativeBioInspiredArtificialIntelligence.pdf http://eprints.utm.my/id/eprint/87661/ http://www.dx.doi.org/10.1109/ACCESS.2020.2990439 |
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