• DocumentCode
    1643178
  • Title

    Detection of operating condition in home appliances using current data on electric distribution boards

  • Author

    Iwafune, Y. ; Yagita, Y. ; Ogimoto, K.

  • Author_Institution
    Collaborative Res. Center for Energy Eng., Univ. of Tokyo, Tokyo, Japan
  • fYear
    2012
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    The Energy management systems (EMS) on demand sides are expected as a method to enhance the capability of supply and demand balancing of a power system under the anticipated penetration of renewable energy generation such as Photovoltaics (PV). Elucidation of energy consumption structure in a building is one of important elements for realization of EMS and contributes to the extraction of potential energy saving. In this paper, we propose the estimation method of operating condition of household appliances using circuit current data on an electric distribution board. Circuit current data are broken down by their shape using a self-organization map method and aggregated by appliance based on customers´ information of appliances possessed. Proposed method is verified using residential energy consumption measurement survey data.
  • Keywords
    demand side management; domestic appliances; energy conservation; energy consumption; estimation theory; renewable energy sources; Energy Management Systems; building; circuit current data; customers´ information; demand sides; electric distribution boards; energy consumption structure; estimation method; home appliances; household appliances; operating condition; photovoltaics; potential energy saving; power system; renewable energy generation; residential energy consumption measurement survey data; self-organization map method; Current measurement; Electricity; Home appliances; Temperature measurement; Temperature sensors; Vectors; Water heating; Electric distribution board; Energy Management; Residential Electricity demand; Self-organization map;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Smart Grid Technologies (ISGT), 2012 IEEE PES
  • Conference_Location
    Washington, DC
  • Print_ISBN
    978-1-4577-2158-8
  • Type

    conf

  • DOI
    10.1109/ISGT.2012.6175708
  • Filename
    6175708