Cover Image

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Tao, H., Salih, S. Q., Saggi, M. K., Dodangeh, E., Voyant, C., Al-Ansari, N., Yaseen, Z. M., Shahid, S.
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2020
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access: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
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

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

Similar Items