• DocumentCode
    2934738
  • Title

    Distributed Power Generation from Renewable Energy Resources: A Framework for Load Forecasting in Low Voltage Power Grids

  • Author

    Dragomir, Florin ; Dragomir, Otilia Elena

  • Author_Institution
    Comput. Sci. & Electr. Eng. Dept., Valahia Univ. of Targoviste, Targoviste, Romania
  • fYear
    2012
  • fDate
    14-16 Nov. 2012
  • Firstpage
    299
  • Lastpage
    304
  • Abstract
    The purpose of this paper is to define a framework for for load forecasting in low voltage power grids with distributed power generation from renewable energy resources. In this way, the framework architecture is described: at the component level and at the global level (whole system). In the model proposed, the interest of load forecasting tools as " decision support tools" is pointed out. The framework gives to customers the possibility to control electricity consumption of the used devices, allowing them to reduce: monthly bills, carbon emissions, the demand during peak periods, local dependence of the reserve\´s capacity. The work is in coherence with actual energy market developments like "green energy" or "web-services applications".
  • Keywords
    distributed power generation; load forecasting; power grids; carbon emissions; decision support tools; distributed power generation; electricity consumption; framework architecture; global level; green energy; load forecasting; load forecasting tools; low voltage power grids; monthly bills; renewable energy resources; web-services applications; Artificial intelligence; Electricity; Europe; Load forecasting; Low voltage; Renewable energy resources; Smart grids; distributed power generation (DP); forecasting; low voltage electrical grid; renewable energy resources (RES);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Modeling and Simulation (EMS), 2012 Sixth UKSim/AMSS European Symposium on
  • Conference_Location
    Valetta
  • Print_ISBN
    978-1-4673-4977-2
  • Type

    conf

  • DOI
    10.1109/EMS.2012.51
  • Filename
    6410168