小波回归分析法在短期电力系统负荷预测中的应用  

The Application of Wavelet Transform and Regression Analysis Used in Short-term Power Load Forecasting

作　　者：张涛[1] 朱建良[1] 

机构地区：[1]哈尔滨理工大学电气与电子工程学院,黑龙江哈尔滨150040

出　　处：《哈尔滨理工大学学报》2008年第1期74-76,共3页Journal of Harbin University of Science and Technology

摘　　要：利用多分辨分析的小波变换对短期电力负荷序列进行了分解处理.将负荷序列投影到不同的尺度上,根据其在各尺度上子序列的特性分别进行回归预测.最后将预测结果叠加,得到最佳预测结果.结果表明,该方法能够取得较好的预测精确度.In this paper, the wavelet transform （WT）, based on Multi-resolution Analysis （MRA） is applied to decompose short-term power load into wavelet component. By the WT, the different load sequence components are projects to the different scales. According the different character of the load components, the different regression analysis method is used for forecasting. The forecast results are obtained by adding up all the forecast components. The results show this method is Better in obtaining farecast.

关 键 词：小波变换 回归分析法 负荷预测 

分 类 号：TM714[电气工程—电力系统及自动化]