• DocumentCode
    640601
  • Title

    Modeling User Behavior through Electricity Consumption Patterns

  • Author

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

  • Author_Institution
    Software Competence Center Hagenberg, Hagenberg, Austria
  • fYear
    2013
  • fDate
    26-30 Aug. 2013
  • Firstpage
    204
  • Lastpage
    208
  • Abstract
    Reducing energy consumption in buildings of all kinds is a key challenge for researchers since it can help to notably reduce the waste of energy and its associated costs. However, when dealing with residential environments, there is a major problem, people comfort should not be altered, so it is necessary to look for smart methods which take into account this circumstance. Traditional techniques have not considered the study of human behavior when providing solutions in this field, but new human-centric paradigms are emerging gradually. We present our research on user behavior concerning electricity consumption in office buildings and residential environments. Our goal consists of inspiring practitioners in this field for developing new human-aware solutions.
  • Keywords
    behavioural sciences computing; building management systems; pattern classification; power consumption; radial basis function networks; statistical analysis; RBF network; electricity consumption patterns; energy consumption reduction; energy waste reduction; human behavior study; human-aware solutions; human-centric paradigms; office buildings; radial basis function network; residential environments; smart methods; statistical classifiers; user behavior modelling; Accuracy; Buildings; Cameras; Companies; Electricity; Energy consumption; Training; electricity consumption; smart metering; user behavior;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Database and Expert Systems Applications (DEXA), 2013 24th International Workshop on
  • Conference_Location
    Los Alamitos, CA
  • ISSN
    1529-4188
  • Print_ISBN
    978-0-7695-5070-1
  • Type

    conf

  • DOI
    10.1109/DEXA.2013.44
  • Filename
    6621372