• DocumentCode
    174865
  • Title

    Realistic User Behavior Modeling for Energy Saving in Residential Buildings

  • Author

    Martinez-Gil, Jorge ; Chasparis, Georgios ; Freudenthaler, Bernhard ; Natschlaeger, Thomas

  • Author_Institution
    Software Competence Center Hagenberg GmbH, Hagenberg, Austria
  • fYear
    2014
  • fDate
    1-5 Sept. 2014
  • Firstpage
    121
  • Lastpage
    125
  • Abstract
    Due to the high costs of live research, performance simulation has become a widely accepted method of assessment for the quality of proposed solutions in this field. Additionally, being able to simulate the behavior of the future occupants of a residential building can be very useful since it can support both design-time and run-time decisions leading to reduced energy consumption through, e.g., the design of model predictive controllers that incorporate user behavior predictions. In this work, we provide a framework for simulating user behavior in residential buildings. In fact, we are interested in how to deal with all user behavior aspects so that these computer simulations can provide a realistic framework for testing alternative policies for energy saving.
  • Keywords
    behavioural sciences computing; building management systems; power consumption; power engineering computing; behavior simulation; computer simulations; design-time decision; energy consumption reduction; energy saving; model predictive controller design; realistic user behavior modeling; residential buildings; run-time decision; user behavior predictions; Buildings; Computational modeling; Energy consumption; Heating; Meteorology; Predictive models; energy consumption; energy saving; user behavior;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Database and Expert Systems Applications (DEXA), 2014 25th International Workshop on
  • Conference_Location
    Munich
  • ISSN
    1529-4188
  • Print_ISBN
    978-1-4799-5721-7
  • Type

    conf

  • DOI
    10.1109/DEXA.2014.38
  • Filename
    6974837