Title :
Forecasting system based on Wavelet Transform and PSO-SVM
Author :
Chen, Qisong ; Wu, Yun ; Zhang, Xin ; Chen, Xiaowei
Author_Institution :
Sch. of Comput. Sci. & Technol., Guizhou Univ., Guiyang
Abstract :
A new method for load forecasting based on LS-SVM, PSO and wavelet transform is proposed. The wavelet transform is adopted to decompose the historical data, so the approximate part and several detail parts are obtained. The results of wavelet transform are predicted by a separate LS-SVM predictor. PSO is employed to determine these parameters of SVM model. The novel forecast model integrates the advantage of WT, PSO and LS-SVM. Compared with other predictors, this forecast model has greater generality ability and higher accuracy.
Keywords :
forecasting theory; particle swarm optimisation; support vector machines; wavelet transforms; SVM model; load forecasting system; particle swarm optimization; support vector machines; wavelet transform; Autoregressive processes; Computer science; Discrete wavelet transforms; Least squares methods; Load forecasting; Particle swarm optimization; Predictive models; Stochastic processes; Support vector machines; Wavelet transforms; PSO; Wavelet Transform; forecasting; least squares support vector machines;
Conference_Titel :
Anti-counterfeiting, Security and Identification, 2008. ASID 2008. 2nd International Conference on
Conference_Location :
Guiyang
Print_ISBN :
978-1-4244-2584-6
Electronic_ISBN :
978-1-4244-2585-3
DOI :
10.1109/IWASID.2008.4688383
