神经网络在电力系统短期负荷预测中的应用综述  

Application of Short-term Load Forecasting Based on ANN:a Survey

作　　者：张亚军[1] 张大波[1] 许诚昕[1] 

机构地区：[1]西南交通大学,四川成都610031

出　　处：《浙江电力》2007年第2期5-9,共5页Zhejiang Electric Power

摘　　要：神经网络是目前研究最多的短期负荷预测方法。详细综述了BP网络、RBF网络以及小波神经网络在电力负荷预测领域的研究和应用现状。简单介绍了神经网络中常用的BP算法以及改进的BP算法。综述了神经网络在组合预测中的应用,并指出目前神经网络还存在的一些问题。ANN is a method of short-term load forecasting which has been researched the most recently. In this article, the research and applied of BP network and RBF network as well as wavelet neural network in power load forecasting has been summarized in detail. In addition, BP algorithm as well as improved BP algorithm in ANN has been simply introduced. The application of ANN in combination forecasting has been summarized and further suggestions will be pointed to some existing problems in recent ANN.

关 键 词：神经网络 负荷预测 BP算法 

分 类 号：TM715[电气工程—电力系统及自动化]