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

Author

Guangjin Peng ; Jihui Yu ; Juntao Wei ; Hui Zhu ; Chun Bo

Author_Institution

State Key Lab. of Power Transm. Equip. & Syst. Security & New Technol., Chongqing Univ., Chongqing

fYear

2008

fDate

12-14 Oct. 2008

Firstpage

1

Lastpage

5

Abstract

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.

Keywords

data mining; power system analysis computing; support vector machines; transmission networks; Matlab7.0 software package; SPSS15.0 software package; budgetary estimation; clustering analysis; cost forecast method; data mining; partial correlation analysis; power transmission line projects; relative analysis; support vector machine theory; Costs; Data mining; History; Information analysis; Mathematical model; Power transmission lines; Predictive models; Software packages; Support vector machines; Technology forecasting;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on

Conference_Location

Dalian

Print_ISBN

978-1-4244-2107-7

Electronic_ISBN

978-1-4244-2108-4

Type

conf

DOI

10.1109/WiCom.2008.2614

Filename

4680803