• DocumentCode
    2854697
  • Title

    Privacy for Smart Meters: Towards Undetectable Appliance Load Signatures

  • Author

    Kalogridis, Georgios ; Efthymiou, Costas ; Denic, Stojan Z. ; Lewis, Tim A. ; Cepeda, Rafael

  • Author_Institution
    Telecommun. Res. Lab., Toshiba Res. Eur. Ltd., Bristol, UK
  • fYear
    2010
  • fDate
    4-6 Oct. 2010
  • Firstpage
    232
  • Lastpage
    237
  • Abstract
    Smart grid privacy encompasses the privacy of information extracted by analysing smart metering data. In this paper, we suggest that home electrical power routing can be used to moderate the home´s load signature in order to hide appliance usage information. In particular, (1) we introduce a power management model using a rechargeable battery, (2) we propose a power mixing algorithm, and (3) we evaluate its protection level by proposing three different privacy metrics: an information theoretic (relative entropy), a clustering classification, and a correlation/regression one; these are tested on different metering datasets. This paper sets the ground for further research on the subject of optimising home energy management with regards to hiding load signatures.
  • Keywords
    data privacy; load management; metering; secondary cells; electrical power routing; home energy management; load signature; power management model; power mixing algorithm; privacy metrics; privacy of information; rechargeable battery; smart metering; Batteries; Data privacy; Entropy; Home appliances; Measurement; Privacy; Smart grids;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Smart Grid Communications (SmartGridComm), 2010 First IEEE International Conference on
  • Conference_Location
    Gaithersburg, MD
  • Print_ISBN
    978-1-4244-6510-1
  • Type

    conf

  • DOI
    10.1109/SMARTGRID.2010.5622047
  • Filename
    5622047