Title :
Optimization Combination Forecast Method of SVM and WNN for Power Load Forecasting
Author :
Qian Zhang ; Kin Keung Lai ; Dongxiao Niu
Author_Institution :
Dept. of Economic Manage., North China Electr. Power Univ., Baoding, China
Abstract :
This paper puts forward a new method of the SVM and wavelet neural network optimization combination model for power load forecasting. It uses fixed weight method of forecasting model, that is, it chooses weight with average precision of each model to build an optimization combination forecasting model. It can be seen from the example that this method can improve effectively the forecast accuracy. The forecast model was tested and the result showed that it was an effective way to forecast power load.
Keywords :
load forecasting; neural nets; wavelet transforms; SVM; WNN; forecast power load; optimization combination forecast method; optimization combination forecasting model; power load forecasting; support vector machines; wavelet neural network; Artificial neural networks; Forecasting; Load forecasting; Load modeling; Optimization; Predictive models; Wavelet transforms; Power Load Forecasting; SVM; WNN;
Conference_Titel :
Computational Sciences and Optimization (CSO), 2011 Fourth International Joint Conference on
Conference_Location :
Yunnan
Print_ISBN :
978-1-4244-9712-6
Electronic_ISBN :
978-0-7695-4335-2
DOI :
10.1109/CSO.2011.193
