• DocumentCode
    1795628
  • Title

    The comparison of medium-term energy demand forecasting methods for the need of microgrid management

  • Author

    Hossa, Tymoteusz ; Filipowska, Agata ; Fabisz, Karol

  • fYear
    2014
  • fDate
    3-6 Nov. 2014
  • Firstpage
    590
  • Lastpage
    595
  • Abstract
    Trends on the European energy markets show that renewable energy sources take an increasingly important position in the power supply. Recent developments concern inter alia formation of microgrids, where local energy sources meet the local energy consumption demand. Consequently, it is necessary to propose effective methods for predicting demand of small groups of prosumers. Accurate forecasts of a network load enable balancing the energy supply and demand in microgrids. This article aims at presenting the research results on comparison of different methods for energy demand forecasting in the medium-term horizon. The study was based on real data concerning one year´s households energy consumption. The results of this research were implemented as a part of the forecasting module in the Future Energy Management System.
  • Keywords
    demand forecasting; distributed power generation; energy management systems; load forecasting; power markets; power supply quality; renewable energy sources; European energy markets; energy management system; local energy consumption demand; local energy sources; medium-term energy demand forecasting methods; microgrid management; power supply; renewable energy sources; Correlation; Energy consumption; Forecasting; Microgrids; Production; Smart grids; Smoothing methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Smart Grid Communications (SmartGridComm), 2014 IEEE International Conference on
  • Conference_Location
    Venice
  • Type

    conf

  • DOI
    10.1109/SmartGridComm.2014.7007711
  • Filename
    7007711