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Journal of Electrical Engineering
Volume 69 (2018): Issue 2 (March 2018)
Open Access
Wind speed prediction with RBF neural network based on PCA and ICA
Yagang Zhang
Yagang Zhang
,
Chenhong Zhang
Chenhong Zhang
,
Yuan Zhao
Yuan Zhao
and
Shuang Gao
Shuang Gao
| May 30, 2018
Journal of Electrical Engineering
Volume 69 (2018): Issue 2 (March 2018)
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Published Online:
May 30, 2018
Page range:
148 - 155
Received:
Feb 26, 2017
DOI:
https://doi.org/10.2478/jee-2018-0018
Keywords
renewable energy
,
wind speed prediction
,
PCA
,
ICA
,
artificial neural network
© 2018 Yagang Zhang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.
Yagang Zhang
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