• DocumentCode
    3247095
  • Title

    Energy disaggregation via adaptive filtering

  • Author

    Dong, Roy ; Ratliff, Lillian J. ; Ohlsson, Henrik ; Sastry, S. Shankar

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Univ. of California at Berkeley, Berkeley, CA, USA
  • fYear
    2013
  • fDate
    2-4 Oct. 2013
  • Firstpage
    173
  • Lastpage
    180
  • Abstract
    The energy disaggregation problem is recovering device level power consumption signals from the aggregate power consumption signal for a building. We show in this paper how the disaggregation problem can be reformulated as an adaptive filtering problem. This gives both a novel disaggregation algorithm and a better theoretical understanding for disaggregation. In particular, we show how the disaggregation problem can be solved online using a filter bank and discuss its optimality.
  • Keywords
    adaptive filters; building management systems; power consumption; adaptive filtering; disaggregation algorithm; energy disaggregation; filter bank; power consumption signal; Aggregates; Buildings; Data models; Finite impulse response filters; Hidden Markov models; Home appliances; Power demand;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication, Control, and Computing (Allerton), 2013 51st Annual Allerton Conference on
  • Conference_Location
    Monticello, IL
  • Print_ISBN
    978-1-4799-3409-6
  • Type

    conf

  • DOI
    10.1109/Allerton.2013.6736521
  • Filename
    6736521