Energy and Power Engineering

Vol.9 No.4BB(2017), Paper ID 75339, 12 pages

DOI:10.4236/epe.2017.94B077

 

Predicting of Power Quality Steady State Index Based on Chaotic Theory Using Least Squares Support Vector Machine

 

Aiqiang Pan, Jian Zhou, Peng Zhang, Shunfu Lin, Jikai Tang

 

Electric Power Research Institute State Grid Shanghai Municipal Electric Power Company, Shanghai, China
Electric Power Research Institute State Grid Shanghai Municipal Electric Power Company, Shanghai, China
Electric Power Research Institute State Grid Shanghai Municipal Electric Power Company, Shanghai, China
College of Electrical Engineering, Shanghai University of Electric Power, Shanghai, China
College of Electrical Engineering, Shanghai University of Electric Power, Shanghai, China

 

Copyright © 2017 Aiqiang Pan, Jian Zhou, Peng Zhang, Shunfu Lin, Jikai Tang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

 

How to Cite this Article


Pan, A. , Zhou, J. , Zhang, P. , Lin, S. and Tang, J. (2017) Predicting of Power Quality Steady State Index Based on Chaotic Theory Using Least Squares Support Vector Machine. Energy and Power Engineering, 9, 713-724. doi: 10.4236/epe.2017.94B077.

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