%0 Journal Article
%T Application of PSO-BP Model in Short-Term Prediction of Urban Water Consumption<br>PSO-BP模型在城市用水量短期预测中的应用
%A WANG Liang
%A ZHANG Hong-wei
%A YUE Lin
%A LIU Xing
%A <br>王 亮
%A 张宏伟
%A 岳 琳
%A 刘 星
%J 系统工程理论与实践
%D 2007
%I 
%X In order to overcome the over-fitting problem and the local minima problem of the BP neural network method,the PSO-BP prediction model concerned on the hourly urban water consumption was developed.The model was based on the analysis of the characters of the hourly urban water consumption data and the particle swarm optimization(PSO) algorithms with the global stochastic optimization idea.The experimental results indicated that the average prediction precision increased by 2 per cent,compared to the traditional BP method.It was also shown that this model was faster in computation and had better generalization performance,which proved to be effective in short-term prediction of urban water consumption.
%K urban water consumption
%K short-term load prediction
%K particle swarm optimization
%K BP neural network
%K prediction model<br>城市用水量
%K 短期负荷预测
%K 粒子群优化
%K BP神经网络
%K 预测模型
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=01BA20E8BA813E1908F3698710BBFEFEE816345F465FEBA5&cid=962324E222C1AC1D&jid=1D057D9E7CAD6BEE9FA97306E08E48D3&aid=133C404577DE76C9&yid=A732AF04DDA03BB3&vid=DB817633AA4F79B9&iid=9CF7A0430CBB2DFD&sid=31611641D4BB139F&eid=C5F8B8CB20F1B3D8&journal_id=1000-6788&journal_name=系统工程理论与实践&referenced_num=1&reference_num=14