Prediction of stream based on discrete differential evolution algorithm and on-line least squares support vector machine

Author

Lin, Jiang ; Zhengwen, Yin ; Ying, Mao ; Fenhong, Xiang ; Yunsheng, Zhang

Author_Institution

Fac. of Sci., Kunming Univ. of Sci. & Technol., Kunming, China

fYear

2012

fDate

25-27 July 2012

Firstpage

4137

Lastpage

4141

Abstract

According to the online least square support vector machine (SVM) parameters optimization and the nonlinear of steam prediction, this paper puts forward a kind of optimization prediction algorithm based on differential evolution algorithm combined with the online least square support vector machine. By Using this algorithm to predict steam production, the result shows that it can provide the decision-making basis for steam production and real-time operation.

Keywords

air conditioning; decision making; evolutionary computation; least squares approximations; optimisation; power engineering computing; support vector machines; SVM; decision-making basis; discrete differential evolution algorithm; online least squares support vector machine parameters optimization; optimization prediction algorithm; real-time operation; steam production prediction; Buildings; Educational institutions; Electronic mail; Optimization; Prediction algorithms; Production; Support vector machines; Differential evolution algorithm; Forecast; Support vector machine;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (CCC), 2012 31st Chinese

Conference_Location

Hefei

ISSN

1934-1768

Print_ISBN

978-1-4673-2581-3

Type

conf

Filename

6390651