小波熵及小波变换的短期负荷预报  

Short-term Load Forecasting by the Wavelet Entropy and Wavelet Transform

作　　者：刘瑞叶[1] 龙志刚[1] 

机构地区：[1]哈尔滨工业大学电气工程系,黑龙江哈尔滨150001

出　　处：《哈尔滨理工大学学报》2007年第4期62-65,共4页Journal of Harbin University of Science and Technology

摘　　要：基于小波分解理论,借助db8小波函数,对历史数据进行尺度为3的静态离散小波变换,并将小波熵引入到电力负荷预报工作中,用于处理电力负荷的历史数据.选取一定小波熵阈值,识别出历史数据中的非正常数据,可以提高负荷预测的准确性.对于各个分解尺度的小波系数分别进行预测,通过小波重构,得到预测值.预测结果表明,这种方法具较高预测精确度及适应性.Based on the theory of wavelet analyze, the 3 scales＇ static wavelet transform with wavelet function ‘db8＇ has been proposed to the history datum. Wavelet entropy is used in deal with the history datum of power load for load forecasting of power system. So far as some threshold data is selected, the abnormal data of the history datum can be identify. It should increase the veracity of load forecast. Then forecasting each scale＇ s wavelet coefficients, and reconstructing of them, the final forecasting results are got. The practical forecasting results show that this method is more precise than the conventional time -series forecasting method.

关 键 词：小波 小波熵 短期负荷预测 电力系统 

分 类 号：TM732[电气工程—电力系统及自动化]