Article Per Year (5 Year)
p-Index From 2021 - 2026
0
P-Index
This Author published in this journals
All Journal Indonesian Journal of Electrical Engineering and Computer Science
Xia Yongjun
State Grid Hubei Electric Power Research Institute

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Short-term Power Prediction of the Photovoltaic System Based on QPSO-SVM Lei Yang; Zhou Shiping; Xia Yongjun; Shu Xin
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 8: August 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i8.pp5926-5931

Abstract

Short-term power prediction of the photovoltaic system is one of the effective means to reduce the adverse effects of photovoltaic power on the grid. Since the efficiency of the traditional support vector machine(SVM) prediction method is low, this paper proposes the SVM based on the parameter optimization method of quantum particle swarm optimization(QPSO), and then apply into the power short-term prediction of the photovoltaic system. After comparing and analyzing the prediction results of SVM based on three optimization methods, we find that the QPSO-SVM method has better precision and stability, which provides reference to forecast generation power of the photovoltaic system.
Co-Authors Lei Yang Shu Xin Zhou Shiping