• DocumentCode
    1772699
  • Title

    A decision support system for renewable energy plant projects

  • Author

    Dadda, Afaf ; Ouhbi, Ibrahim

  • Author_Institution
    Lab. of Math. Modeling & Comput., Univ. Moulay Ismail, Moulay Ismail, Morocco
  • fYear
    2014
  • fDate
    28-30 May 2014
  • Firstpage
    356
  • Lastpage
    362
  • Abstract
    This paper present a decision support system based on new Multi-Criteria Decision Making-Method. This MCDM is applied to models the selection of a Renewable Energy Plant Project (REPP) as a Multi-Criteria Decision Making (MCDM) problem. The presented approach is based on the combination of the Multi-criteria K-Means algorithm, the preference function and the satisfactory theory. Before the use of this method, exhaustive information about the Renewable Energy sources must be determined, To illustrate how the approach is useful for the REP selection, an experimental study of a real case is conducted. The case study demonstrates the effectiveness and feasibility of the proposed evaluation procedure.
  • Keywords
    decision making; decision support systems; operations research; power engineering computing; power plants; renewable energy sources; MCDM problem; REPP; decision support system; multicriteria K-means algorithm; multicriteria decision making method; renewable energy plant projects; renewable energy sources; Availability; Clustering algorithms; Decision support systems; Game theory; Mathematical model; Renewable energy sources; Expert System; Life cycle approach; Multi-criteria decision making; Renewable Energy Project; Weighting Methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Next Generation Networks and Services (NGNS), 2014 Fifth International Conference on
  • Conference_Location
    Casablanca
  • Print_ISBN
    978-1-4799-6608-0
  • Type

    conf

  • DOI
    10.1109/NGNS.2014.6990278
  • Filename
    6990278