DocumentCode :
517586
Title :
Evaluation on economic benefit for electric power enterprise based on BP neural network and DEA
Author :
Jingmin, Wang ; Xiaoqiong, An
Author_Institution :
Sch. of Bus. Adm., North China Electr. Power Univ., Baoding, China
Volume :
1
fYear :
2010
fDate :
30-31 May 2010
Firstpage :
36
Lastpage :
39
Abstract :
In this paper, it is established economic benefit evaluation index system for electric power enterprises from corporate investors, creditors and corporate contributions to the community, etc. An economic benefit evaluation model for electric power enterprise is established by the combination of BP neural network and DEA. This model improves the objectivity and accuracy of the evaluation. Then 10 public electric power enterprises are selected to evaluate by BP neural network and DEA method. This model provides the basis for investment decisions from the enterprise, so that businesses have better development.
Keywords :
backpropagation; data envelopment analysis; neural nets; power engineering computing; power markets; power system economics; BP neural network; DEA method; date envelope analysis; economic benefit evaluation index system; electric power enterprise; electricity market; Data envelopment analysis; Economic indicators; Electronic mail; Feedforward neural networks; Investments; Multi-layer neural network; Neural networks; Power generation economics; Power system economics; Power system modeling; BP neural network; Date Envelope Analysis (DEA); Economic benefit; Electric power enterprise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networking and Digital Society (ICNDS), 2010 2nd International Conference on
Conference_Location :
Wenzhou
Print_ISBN :
978-1-4244-5162-3
Type :
conf
DOI :
10.1109/ICNDS.2010.5479206
Filename :
5479206
Link To Document :
بازگشت