Title :
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
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;
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
DOI :
10.1109/ICMLC.2006.258572
