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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:	Tao, H., Salih, S. Q., Saggi, M. K., Dodangeh, E., Voyant, C., Al-Ansari, N., Yaseen, Z. M., Shahid, S.
格式:	Article
語言:	English
出版:	Institute of Electrical and Electronics Engineers Inc. 2020
主題:	TA Engineering (General). Civil engineering (General)
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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