Title :
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
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;
Conference_Titel :
Control Conference (CCC), 2012 31st Chinese
Conference_Location :
Hefei
Print_ISBN :
978-1-4673-2581-3