Comprehensive evaluation of power plants´ competition ability with BP neural networks method

Author

Sun, Wei ; Niu, Dong-xiao ; Shen, Hai-Yu

Author_Institution

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

Volume

8

fYear

2005

fDate

18-21 Aug. 2005

Firstpage

4641

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 the BP neural network was used in the comprehensive evaluation of the power plant competition ability. An experiment is done with 20 power plants of Hebei and the test results show the performance of these methods is good and practical.

Keywords

backpropagation; electricity supply industry; neural nets; power markets; power plants; BP neural network method; comprehensive evaluation indexes system; electric power marketing; power plant competition ability; power plant management; Energy management; Marketing management; Neural networks; Performance evaluation; Power generation; Power system management; Power system modeling; Power system protection; Sun; Testing; Electric power market; competition ability; neural network; the Power plant;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on

Conference_Location

Guangzhou, China

Print_ISBN

0-7803-9091-1

Type

conf

DOI

10.1109/ICMLC.2005.1527757

Filename

1527757