Study on Engineering Cost Forecasting of Electric Power Construction Based on Time Response Function Optimization Grey Model

摘要：

This paper discussed an improved gray forecasting model for electric power construction project engineering cost forecasting. A method of time response function optimization is proposed, namely using constraint condition of minimum Euclidean distance of original sequence and simulation value to determine the constant C, build time response function optimization grey forecasting model, and then make better use of the original message. Apply the improved model to forecast the main engineering cost index of electric power construction. Compare this grey forecasting method with regression forecasting method, the results show that improved model has higher prediction accuracy and the effect of actual application is better than before.

关键词： electric power construction project engineering cost gray model time response function

作者: Li Wei Yuan Ya-nan Dong Wei-dong Zhang Bo

作者单位: Department of Economics and Management North China Electric Power University Baoding, Hebei, 071003, China

会议类型: 国际会议

会议名称: 2011 2nd International Conference on Data Storage and Data Engineering(DSDE 2011)(2011年第二届数据存储与数据工程国际会议)

会议地点: 西安

会议语种:英文

页码: 58-61

在线出版日期: 2011-05-13（万方平台首次上网日期，不代表论文的发表时间）