• DocumentCode
    1781712
  • Title

    Intelligent decision support for Renewable Energy Providers

  • Author

    Stanescu, Ioana Andreea ; Stefan, Antoniu ; Stefan, Dumitru ; Dragomir, Florin ; Olariu, Nicolae ; Dragomir, Otilia

  • Author_Institution
    Adv. Technol. Syst., Targoviste, Romania
  • fYear
    2014
  • fDate
    3-5 Nov. 2014
  • Firstpage
    488
  • Lastpage
    492
  • Abstract
    Renewable Energy Sources (RES) have evolved into an international success story. Even if, based on the policy and legislative support from the European Commission and national governments, the number of Renewable Energy Providers (REP) has increased substantially, RES are far from being readily usable. Numerous factors limit their efficiency. This paper discusses the emergence of supporting technologies that increase the performance of REP and present as a solution a cloud-based intelligent decision support and control system for low voltage power grids with distributed generation from RES.
  • Keywords
    cloud computing; decision making; distributed power generation; power engineering computing; renewable energy sources; REP; RES; cloud-based intelligent decision support; distributed generation; low voltage power grids; renewable energy providers; renewable energy sources; Artificial intelligence; Decision making; Energy consumption; Knowledge management; Low voltage; Monitoring; Renewable energy sources; cloud services; control; decision-making; renewable energy; serious games;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Decision and Information Technologies (CoDIT), 2014 International Conference on
  • Conference_Location
    Metz
  • Type

    conf

  • DOI
    10.1109/CoDIT.2014.6996942
  • Filename
    6996942