Customer Demand Forecasting Based on SVR Using Moving Time Window Method

摘要：

The principles of Support Vector Regression (SVR) are described. The collection and treatment of customer demand,the moving time window method,the selection of training samples and the analysis of forecasting accuracy are stated. The customer demand forecasting approach based on SVR using moving time window method is proposed. With the demand data of a simulation example,the presented approach is used to forecast the demand values for 7 days ahead. The average forecasting error is less than 2%. The simulation results demonstrate the approach is feasible and valid in customer demand forecasting.

关键词： Forecasting SVR moving time window

作者: Hua-li Sun Rui-xia Jia Yao-feng Xue

作者单位: Management School,Shanghai University,Shanghai,China Distance Education College & e-Educational System Engineering Research Center,East China Normal Univ

会议类型: 国际会议

会议名称: 2009 IEEE 16th International Conference on Industrial Engineering and Engineering Management(IEEE第16届工业工程与工程管理国际学术会议)

会议地点: 北京

会议语种:英文

页码: 104-107

在线出版日期: 2009-10-21（万方平台首次上网日期，不代表论文的发表时间）