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Wind speed prediction with RBF neural network based on PCA and ICA Cover

Wind speed prediction with RBF neural network based on PCA and ICA

Journal of Electrical Engineering
Volume 69 (2018): Issue 2 (March 2018)
By: Yagang Zhang,  Chenhong Zhang,  Yuan Zhao and  Shuang Gao  
Open Access
|May 2018

Authors

Yagang Zhang

yagangzhang@ncepu.edu.cn

State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing, China

Chenhong Zhang

State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing, China

Yuan Zhao

State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing, China

Shuang Gao

State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing, China
DOI: https://doi.org/10.2478/jee-2018-0018 | Journal eISSN: 1339-309X | Journal ISSN: 1335-3632
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Language: English
Page range: 148 - 155
Submitted on: Feb 26, 2017
|
Published on: May 30, 2018
Published by: Slovak University of Technology in Bratislava
In partnership with: Paradigm Publishing Services
Publication frequency: 6 issues per year
Keywords:
renewable energy,
wind speed prediction,
PCA,
ICA,
artificial neural network
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2018 Yagang Zhang, Chenhong Zhang, Yuan Zhao, Shuang Gao, published by Slovak University of Technology in Bratislava
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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