• DocumentCode
    3590053
  • Title

    Optimizing residential energy consumption: the need for pareto optimality

  • Author

    Alam, Muhammad Raisul ; St-Hilaire, Marc ; Kunz, Thomas

  • Author_Institution
    Dept. of Syst. & Comput. Eng., Carleton Univ., Ottawa, ON, Canada
  • fYear
    2014
  • Firstpage
    26
  • Lastpage
    31
  • Abstract
    The success of the smart grid will depend on the widespread participation of users. The potential for profit and the cost saving features of smart grids are excellent motivating factors to involve users in the smart grid implementation. At the same time, users do not want to be extensively involved in optimizing their energy usage. In this paper, we review various optimization methods proposed in the literature to optimize end-user´s energy consumption. We then briefly describe a comprehensive optimization model we developed to automate decisions about minimum cost energy consumptions and discuss a simple 2-household case study. The case study demonstrates that it is important to consider pareto-optimality and discusses our solution to this requirement.
  • Keywords
    Pareto optimisation; energy consumption; smart power grids; Pareto optimality; end-user energy consumption; minimum cost energy consumptions; residential energy consumption optimization method; smart grid; Energy consumption; Energy storage; Home appliances; Load modeling; Optimization; Renewable energy sources; Smart grids; cot optimization; pareto optimality; residential users; smart grid; smart homes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications in China - Workshops (CIC/ICCC), 2014 IEEE/CIC International Conference on
  • Type

    conf

  • DOI
    10.1109/ICCChinaW.2014.7107861
  • Filename
    7107861