• 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