基于MRA与回归分析法的短期电力负荷预测  

Short-term power load forecasting based on MRA and regression analysis

作　　者：袁诚斌 张涛[2] 朱建良[2] 

机构地区：[1]哈尔滨第二电业局,哈尔滨150076 [2]哈尔滨理工大学电气与电子工程学院,哈尔滨150040

出　　处：《信息技术》2007年第10期88-90,共3页Information Technology

摘　　要：为提高电力系统短期负荷预测准确度,首先利用多分辨分析的小波变换对短期电力负荷序列进行分解处理,根据其在小波各尺度上子序列的特性分别进行回归预测,再将预测结果进行小波重构,得到了满意的预测结果。To increase the accuracy of the short-term power load forecasting,in this paper,the wavelet transform(WT) based on Multi-resolution Analysis(MRA) is applied to decompose short-term power load sequence into wavelet component. By the WT,the different load sequence components are projected on the different scales. According to the different character of the load components,the different regression analysis method is used for forecasting.The forecast results are obtained by wavelet reviving.The results are sati...

关 键 词：多分辨分析 回归分析法 电力负荷预测 

分 类 号：TM715[电气工程—电力系统及自动化]