• DocumentCode
    138336
  • Title

    Personalized Energy Auditor: Estimating personal electricity usage

  • Author

    Seungwoo Lee ; Daye Ahn ; Sukjun Lee ; Rhan Ha ; Hojung Cha

  • Author_Institution
    Dept. of Comput. Sci., Yonsei Univ., Seoul, South Korea
  • fYear
    2014
  • fDate
    24-28 March 2014
  • Firstpage
    44
  • Lastpage
    49
  • Abstract
    The goal of energy monitoring and eco-feedback systems is to induce energy consumers to change their behaviors to achieve a more sustainable way of life. Comprehensive research and commercial solutions provide energy consumers with information about overall energy costs or appliance-level energy usage. However, in order to better promote spontaneous energy saving with an eco-feedback system, personalized information is required. The conventional solutions cannot identify the energy usage of an individual user in a shared residential environment. In this paper, we propose the Personalized Energy Auditor, which estimates personal energy usage at home. Our system monitors and analyzes appliance usage, as well as the energy cost of the daily activities of residents. The system then estimates personal energy usage automatically, by linking appliance usage data with the individual user. Our system was installed in residential homes, and the experimental results indicate that it accurately estimates personal energy usage.
  • Keywords
    energy consumption; eco-feedback systems; energy consumers; energy monitoring; personal electricity usage; personalized energy auditor; Accuracy; Energy consumption; Fingerprint recognition; Home appliances; IEEE 802.11 Standards; Mobile handsets; Sensors; eco-feedback; home energy monitoring; indoor tracking; load disaggregation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing and Communications (PerCom), 2014 IEEE International Conference on
  • Conference_Location
    Budapest
  • Type

    conf

  • DOI
    10.1109/PerCom.2014.6813942
  • Filename
    6813942