Comprehensive Evaluation of Power Plants´ Competition Ability with SVM Method

Author

Sun, Wei ; Shen, Hai-Yu ; Yang, Chen-guang

Author_Institution

Dept. Economy & Manage., North China Electr. Power Univ., Baoding

fYear

2006

fDate

13-16 Aug. 2006

Firstpage

3568

Lastpage

3572

Abstract

Researching the competition ability of the power plant in electric power marketing is a key problem of power plant management. In this paper, the comprehensive evaluation indexes system of the power plant characteristics is set up, and support vector machine (SVM) was used in the comprehensive evaluation of the power plant competition ability on the base of filtrating the formed indexes with the principal components analysis method. The test results show the performance of this method is good and practical

Keywords

power markets; power plants; power system analysis computing; power system management; principal component analysis; support vector machines; SVM method; comprehensive evaluation indexes system; electric power marketing; power plant competition ability evaluation; power plant management; principal component analysis method; support vector machine; Constitution; Cybernetics; Energy consumption; Energy management; Machine learning; Marketing management; Power generation; Power system management; Power system modeling; Principal component analysis; Sun; Support vector machines; Testing; Competition ability; Support vector machine (SVM); principal components analysis; the Power plant;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2006 International Conference on

Conference_Location

Dalian, China

Print_ISBN

1-4244-0061-9

Type

conf

DOI

10.1109/ICMLC.2006.258572

Filename

4028689