• DocumentCode
    2278912
  • Title

    Notice of Retraction
    Assessment on Operational Risk of Power Grid Enterprises Based on Entropy Weight and Improved Grey Relation Analysis

  • Author

    Yuansheng Huang ; Wei Fang ; Shaohui Chen

  • Author_Institution
    Sch. of Bus. Adm., North China Electr. Power Univ., Baoding, China
  • Volume
    2
  • fYear
    2010
  • fDate
    6-7 March 2010
  • Firstpage
    448
  • Lastpage
    451
  • Abstract
    Notice of Retraction

    After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

    We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

    The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

    The paper proposes the evaluation method on operational risk of power grid enterprises based on entropy weight and improved grey relation analysis. Firstly, it uses entropy weight to fix the weights of index system for the operational risk of power grid enterprises. Secondly, it determines grey weighted related degree of ideal object for each power grid enterprise, and then evaluates operational risk of each power grid enterprise. Finally, an example is used to prove the method is effective and practical.
  • Keywords
    power grids; power system management; risk management; entropy weight analysis; grey relation analysis; operational risk assessment; power grid enterprises; Computer science education; Decision making; Educational technology; Entropy; Paper technology; Power generation economics; Power grids; Power system modeling; Power systems; Risk analysis; entropy weight; grey relation analysis; operational risk; power grid enterprises;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Education Technology and Computer Science (ETCS), 2010 Second International Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-6388-6
  • Type

    conf

  • DOI
    10.1109/ETCS.2010.345
  • Filename
    5458659