首页 | 本学科首页   官方微博 | 高级检索  
     

电力系统短期负荷预测中小波函数的选择
引用本文:董新伟,石超越,吕康飞,国芳,邓薇,张晓青.电力系统短期负荷预测中小波函数的选择[J].机电工程,2009,26(10):80-82.
作者姓名:董新伟  石超越  吕康飞  国芳  邓薇  张晓青
作者单位:中国矿业大学,信息与电气工程学院,江苏,徐州,221008
摘    要:针对应用小波分析进行电力系统短期负荷预测中小波函数的选择问题,以dbN小波系作为变换工具,通过最大李氏指数检测,比较了不同N所产生的预测精度,确定了一种db小波函数为短期负荷预测的核心变换工具。研究结果表明,采用db4作为短期负荷预测的小波函数,预测的结果具有较高的精度。

关 键 词:小波分析  负荷预测  小波函数

Choice of wavelet function in the power system's short-term load forecasting
DONG Xin-wei,SHI Chao-yue,LV Kang-fei,GUO Fang,DENG Wei,ZHANG Xiao-qing.Choice of wavelet function in the power system''s short-term load forecasting[J].Mechanical & Electrical Engineering Magazine,2009,26(10):80-82.
Authors:DONG Xin-wei  SHI Chao-yue  LV Kang-fei  GUO Fang  DENG Wei  ZHANG Xiao-qing
Affiliation:(School of Information and Electrical Engineering, China University of Mining & Technology, Xuzhou 221008, China)
Abstract:Aiming at the selection of wavelet function in application of wavelet analysis in power system's short-term power load forecasting, dbN wavelet series were used as convening tool. Through detected by the maximum Lipchiestz exponent, the forecasting precision produced was compared by different N. A certain db wavelet function was selected as the core converting tool in the process of short-term load forecasting. The results indicate that power system's short-term power load forecasting using db4 as wavelet function has a high forecasting precision.
Keywords:wavelet analysis  load forecasting  wavelet function
本文献已被 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号