• DocumentCode
    1864389
  • Title

    The application of association rule mining in power system restoration

  • Author

    Liu, Dong ; Chen, Yunping ; Fan, Youping ; Shen, Guang

  • Author_Institution
    Sch. of Electr. Eng., Wuhan Univ.
  • fYear
    2005
  • fDate
    Nov. 29 2005-Dec. 2 2005
  • Firstpage
    1041
  • Abstract
    The paper introduced the attempt to apply the association rule mining (ARM) method to discovering heuristic rules for power system restoration (PSR) to guide a fast restoration process. In order to employ the popular algorithms of ARM, the process of PSR is represented as a series of actions out of a finite action set. The interesting attributes of each action are mapped as items and the actions are mapped as transactions. Fuzzy set and clustering method are adopted to evaluate the performance of individual action. A sample test is given to demonstrate the validity of the proposed method
  • Keywords
    data mining; fuzzy set theory; power engineering computing; power system restoration; association rule mining method; clustering method; fuzzy set method; performance evaluation; power system restoration; Association rules; Clustering algorithms; Clustering methods; Data mining; Fuzzy sets; Itemsets; Power system restoration; Power system simulation; Testing; Transaction databases; Association Rule Mining; Clustering Algorithm; Data Mining; Fuzzy Set; Power System Restoration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Conference, 2005. IPEC 2005. The 7th International
  • Conference_Location
    Singapore
  • Print_ISBN
    981-05-5702-7
  • Type

    conf

  • DOI
    10.1109/IPEC.2005.207061
  • Filename
    1627350