Optimization Combination Forecast method of SVM and WNN for Power Load Forecasting

摘要：

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.

关键词： SVM WNN Power Load Forecasting

作者: Qian Zhang Kin Keung Lai Dongxiao Niu

作者单位: Department of Economic Management North China Electric Power University Baoding, Hebei, China 071000 Faculty of Business City University of Hong Kong Hong Kong, SAR, China School of Economic and Management North China Electric Power University Beijing, China

会议类型: 国际会议

会议名称: The Fourth International Joint Conference on Computational Science and Optimization(第四届计算科学与优化国际大会 CSO 2011)

会议地点: 昆明、丽江

会议语种:英文

页码: 249-253

在线出版日期: 2011-04-15（万方平台首次上网日期，不代表论文的发表时间）