Study on Cost Forecast Method of Power Projects Based on Data Mining Technology

被引：0
|
作者：
Peng Guangjin [1 ]
Yu Jihui [1 ]
Wei Juntao [1 ]
Zhu Hui [2 ]
Bo Chun [2 ]
机构：
[1] Chongqing Univ, State Key Lab Power Transmiss Equipment & Syst Se, Chongqing 630044, Peoples R China
[2] Chongqing Power Co, Power Tech Econ Center, Chongqing 630044, Peoples R China
来源：
2008 4TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-31 | 2008年
关键词：
Date mining; Clustering analysis; Support vector machine; Power projecst; budgetary estimation; forecast method;
D O I：
暂无
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
Based on cost data of certain zone history power transmission line projects, applying data mining technology including relative analysis, clustering analysis and support vector machine theory, one kind of new cost forecast methods of power projects is presented. Firstly, applying relative analysis and partial correlation analysis in SPSS15.0 software package, cost forecast index system is built after simplifying technical conditions of power projects. Next, using, clustering analysis, noise information of cost data of history projects is deleted. At last, using support vector machine theory, cost forecast model of power projects is designed. Simulation results of real power transmission line projects in Matlab7.0 software package show such model is valid and feasible.
引用
收藏
页码：11241 / +
页数：2
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