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电力电量预测的神经网络方法
引用本文:张喆,吴知非. 电力电量预测的神经网络方法[J]. 数字社区&智能家居, 2007, 0(20)
作者姓名:张喆  吴知非
作者单位:中原工学院理学院,河南,郑州,450007 河南财税专科学校,河南,郑州,450007
摘    要:本文依次将前六个月用电量作为输入值,第七个月用电量作为输出值,建立BP神经网络结构,根据历史数据对神经网络进行训练,并通过预测试验,对预测网络进行检验,结果表明利用神经网络方法对全国用电量进行预测是可行的.

关 键 词:人工神经网络  电力  预测

Electric Power Forecasting Based on Artificial Neural Network
ZHANG Zhe,WU Zhi-fei. Electric Power Forecasting Based on Artificial Neural Network[J]. Digital Community & Smart Home, 2007, 0(20)
Authors:ZHANG Zhe  WU Zhi-fei
Affiliation:ZHANG Zhe1,WU Zhi-fei2
Abstract:This text research artificial neural network application problem in reality. Take prediction of electric power as an example,a method of modeling based on BP model is introduced in this paper. The results show that after being exercised,the network can provide mapping relation between time and electricity consumption.
Keywords:artificial neural network  electric power  forecasting
本文献已被 CNKI 维普 等数据库收录!
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