• DocumentCode
    3776499
  • Title

    Towards an Intelligent Decision Support System for Renewable Energy management

  • Author

    Hamza Sellak;Brahim Ouhbi;Bouchra Frikh

  • Author_Institution
    LM2I laboratory, ENSAM, Moulay Ismail University, Marjane II, B.P. 4024, Meknes, Morocco
  • fYear
    2015
  • Firstpage
    319
  • Lastpage
    324
  • Abstract
    Renewable Energy (RE) field provides significant new challenges for research in Intelligent Decision Support Systems (IDSS) since decision-making process requires more intelligent algorithms and mechanisms that can solve complex problems involving a large number of stakeholders in an uncertainty, dynamic, and distributed environment. In this paper, we present an intelligent RE-DSS framework to facilitate the decision-making process for the planning and designing intelligent Renewable Energy Management Systems. The framework offers a widespread adoption of more intelligent components in classical RE-DSS that will eventually lead to more efficient decision-making in all levels of RE projects management.
  • Keywords
    "Silicon","Decision support systems","Monitoring","Biomedical monitoring","Artificial neural networks","Information exchange","Databases"
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems Design and Applications (ISDA), 2015 15th International Conference on
  • Electronic_ISBN
    2164-7151
  • Type

    conf

  • DOI
    10.1109/ISDA.2015.7489246
  • Filename
    7489246