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
Link To Document