• DocumentCode
    623929
  • Title

    Real time market models and prosumer profiling

  • Author

    Montanari, Ugo ; Siwe, Alain Tcheukam

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Pisa, Pisa, Italy
  • fYear
    2013
  • fDate
    14-19 April 2013
  • Firstpage
    3183
  • Lastpage
    3188
  • Abstract
    Decentralized power management systems will play a key role in reducing greenhouse gas emissions and increasing electricity production through alternative energy sources. In this paper, we focus on power market models in which prosumers interact in a distributed environment during the purchase or sale of electric power. We have chosen to follow the distributed power market model DEZENT. Our contribution is the planning phase of the consumption of prosumers based on the negotiation mechanism of DEZENT. We propose a controller for the planning of the consumption which aims at minimizing the electricity cost achieved at the end of a day. In the paper we discuss the assumptions on which the controller design is based.
  • Keywords
    marketing; multi-agent systems; power engineering computing; power markets; software agents; DEZENT; consumption planning; decentralized power management systems; distributed environment; distributed power market model; electric power purchase; electric power sale; electricity cost minimization; negotiation mechanism; prosumer profiling; real time market model; Conferences; Electricity; Heuristic algorithms; Learning (artificial intelligence); Planning; Power generation; Power markets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    INFOCOM, 2013 Proceedings IEEE
  • Conference_Location
    Turin
  • ISSN
    0743-166X
  • Print_ISBN
    978-1-4673-5944-3
  • Type

    conf

  • DOI
    10.1109/INFCOM.2013.6567135
  • Filename
    6567135