Application of Time Series-Exponential Smoothing Model on Urban Water Demand Forecasting

摘要：

Based on the traditional time series methods, this paper researched a time seriesexponential smoothing model that is built by SPSS statistical analysis software. In the application of the model, the original data of water consumption were in processed by a particular smoothing method first.Secondly, the processed data were used to build a time series-exponential smoothing model. On error test, we found that this forecasting model has advantages of better effect, high precision and minor error on urban water demand forecasing.

作者: Liu Junliang Chen Xu Zhang Tiejian

作者单位: Agricultural Univercity of Hebei,Baoding,China

会议类型: 国际会议

会议名称: 2011 International Conference on Environmental Biotechnology and Materials Engineering(2011年环境生物技术与材料工程国际会议)

会议地点: 哈尔滨

会议语种:英文

页码: 1158-1162

在线出版日期: 2011-03-26（万方平台首次上网日期，不代表论文的发表时间）