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基于小波-单神经元组合模型的电力系统负荷预测
引用本文:曹兴霖,邱道尹.基于小波-单神经元组合模型的电力系统负荷预测[J].华北水利水电学院学报,2011(4):77-80.
作者姓名:曹兴霖  邱道尹
作者单位:华北水利水电学院;
基金项目:河南省教育厅自然科学基金资助项目(2009A520016)
摘    要:小波分析是一种新兴的数学工具,它能任意地提取负荷序列的细节.通过使用小波分析,可以在任何水平上分析负荷序列,它对信息成分采取逐渐精细的时域与频域处理,尤其对突发与短时的信息分析具有明显的优势.为了将小波分析用于负荷预测,提出了一种基于小波分解和单神经元的电力系统负荷预测方法.通过小波变换把负荷序列分解为不同频段的子序列...

关 键 词:电力系统  小波分析  负荷预测  单神经元

Power System Load Predicting Based on Wavelet and Single Neuron Combination Model
CAO Xing-lin,QIU Dao-yin.Power System Load Predicting Based on Wavelet and Single Neuron Combination Model[J].Journal of North China Institute of Water Conservancy and Hydroelectric Power,2011(4):77-80.
Authors:CAO Xing-lin  QIU Dao-yin
Affiliation:CAO Xing-lin,QIU Dao-yin (North China Institute of Water Conservancy and Hydroelectric Power,Zhengzhou 450011,China)
Abstract:Wavelets analysis is a new mathematical tool which can abstract the details of the loading series at will.By using wavelet analysis, loading series can be analyzed at any level.It applies the gradual fine time-domain and frequency-domain processing to information elements,and especially has obvious advantages for sudden and short-time information analysis.This paper introduces the wavelets analysis into the load forecast,and a prediction method of power system load based on wavelet decomposition and single ...
Keywords:power systems  wavelet analysis  load predicting  single neuron  
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