A Newly Developed Integrative Bio-Inspired Artificial Intelligence Model for Wind Speed Prediction

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. Numerical Weather 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 multivari...

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Bibliographic Details
Main Authors: Hai Tao, Sinan Q. Salih, Mandeep Kaur Saggi, Esmaeel Dodangeh, Cyril Voyant, Nadhir Al-Ansari, Zaher Mundher Yaseen, Shamsuddin Shahid
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Wind speed prediction
multivariate empirical mode decomposition
random forest
Kernel Ridge Regression
Iraq region
Online Access:https://ieeexplore.ieee.org/document/9078735/

Internet

https://ieeexplore.ieee.org/document/9078735/

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