• DocumentCode
    3537069
  • Title

    A dynamical systems approach to energy disaggregation

  • Author

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

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Univ. of California at Berkeley, Berkeley, CA, USA
  • fYear
    2013
  • fDate
    10-13 Dec. 2013
  • Firstpage
    6335
  • Lastpage
    6340
  • Abstract
    Energy disaggregation, also known as non-intrusive load monitoring (NILM), is the task of separating aggregate energy data for a whole building into the energy data for individual appliances. Studies have shown that simply providing disaggregated data to the consumer improves energy consumption behavior. However, placing individual sensors on every device in a home is not presently a practical solution. Disaggregation provides a feasible method for providing energy usage behavior data to the consumer which utilizes currently existing infrastructure. In this paper, we present a novel framework to perform the energy disaggregation task. We model each individual device as a single-input, single-output system, where the output is the power consumed by the device and the input is the device usage. In this framework, the task of disaggregation translates into finding inputs for each device that generates our observed power consumption. We describe an implementation of this framework, and show its results on simulated data as well as data from a small-scale experiment.
  • Keywords
    buildings (structures); data handling; domestic appliances; load management; power consumption; power engineering computing; power system measurement; smart power grids; NILM; aggregate energy data separation; appliances; building; consumer energy usage behavior data; device usage; dynamical systems approach; energy consumption behavior; energy disaggregation; nonintrusive load monitoring; power consumption; single-input single-output system; Current measurement; Microwave devices; Microwave measurement; Monitoring;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
  • Conference_Location
    Firenze
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4673-5714-2
  • Type

    conf

  • DOI
    10.1109/CDC.2013.6760891
  • Filename
    6760891