DocumentCode
3597261
Title
The grey error correction forecast method based on SVR
Author
Wang, Pei-Guang ; Li, Yang ; Zong, Xiao-ping ; Zhao, Fu-fen ; Yan, Chun-xiao
Author_Institution
Coll. of Electron. & Inf. Eng., Hebei Univ., Baoding, China
Volume
3
fYear
2009
Firstpage
1261
Lastpage
1265
Abstract
The advantages and disadvantages of grey forecast method are analyzed respectively. The grey error forecast method based on support vector regression (SVR) is proposed in this article. The new method remedy the disadvantages of grey forecast model and weakens the stochastic undulation, avoids the theoretical defects existing in the grey forecast model. The forecast effect is improved for non-linear specimen.
Keywords
grey systems; load forecasting; power engineering computing; regression analysis; support vector machines; grey error correction forecast method; stochastic undulation; support vector regression; Cybernetics; Educational institutions; Equations; Error correction; Load forecasting; Machine learning; Machine learning algorithms; Power engineering and energy; Predictive models; Support vector machines; Error correction; Grey forecast; Load forecast; SVM; SVR;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2009 International Conference on
Print_ISBN
978-1-4244-3702-3
Electronic_ISBN
978-1-4244-3703-0
Type
conf
DOI
10.1109/ICMLC.2009.5212268
Filename
5212268
Link To Document