The Daily Electric Load Forecasting Based on Wavelet Neural Network

摘要：

This paper proposes a new method for load forecasting--the wavelet neural network model for daily load forecasting. The neural call function is basis of nonlinear wavelets. A wavelet network is composed by the wavelet basis function. The global optimum solution is got. We overcome the intrinsic defects of a artificial neural network that its learning speed is slow, its network structure is difficult to determine rationally and it produces local minimum points. It can be seen from the example this method can improve effectively the forecast accuracy and speed. It can be applied to the daily electric load forecasting.

关键词： Artificial Neural Network Wavelet Neural Network electric Load Forecasting

作者: ZHANG Qian LIU Tongna

作者单位: Department of Economic Management,North China Electric Power University,Baoding 071003,China

会议类型: 国际会议

会议名称: 2007 International Conference on Agriculture Engineering(2007年农业工程国际会议)

会议地点: 河北保定

会议语种:英文

页码: 324-329

在线出版日期: 2007-10-20（万方平台首次上网日期，不代表论文的发表时间）