• DocumentCode
    2634359
  • Title

    House energy demand optimization in single and multi-user scenarios

  • Author

    Barbato, A. ; Capone, A. ; Carello, G. ; Delfanti, M. ; Merlo, M. ; Zaminga, A.

  • Author_Institution
    Dipt. di Elettron. e Inf., Politec. di Milano, Milan, Italy
  • fYear
    2011
  • fDate
    17-20 Oct. 2011
  • Firstpage
    345
  • Lastpage
    350
  • Abstract
    With the Smart Grid revolution and the increasing interest in renewable distributed sources, house energy consumption will play a significant role in the energy system: the whole energy generation and distribution system performance can be improved by optimizing the house energy management. Beside the energy bill reduction for single users, another advantage can be obtained for the overall system by jointly managing the energy consumption of a set of users, thus reducing their peak absorption. In this paper we propose optimization models which allow to manage every day energy load for both single and multi-users cases, taking into account distributed energy sources and batteries. Computational results, obtained applying models on real life data, are provided and discussed.
  • Keywords
    energy management systems; renewable energy sources; smart power grids; house energy demand optimization; house energy management; renewable distributed sources; smart grid; Batteries; Biological system modeling; Electricity; Home appliances; Load modeling; Optimization; Smart grids;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Smart Grid Communications (SmartGridComm), 2011 IEEE International Conference on
  • Conference_Location
    Brussels
  • Print_ISBN
    978-1-4577-1704-8
  • Electronic_ISBN
    978-1-4577-1702-4
  • Type

    conf

  • DOI
    10.1109/SmartGridComm.2011.6102345
  • Filename
    6102345