Title :
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
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;
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
DOI :
10.1109/ICMLC.2005.1527757