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conference paper

Privacy of Real-Time Pricing in Smart Grid

Ghoddousi Boroujeni, Mahrokh
•
Fay, Dominik
•
Dimitrakakis, Christos
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December 2019
2019 IEEE 58th Conference on Decision and Control (CDC)
2019 IEEE 58th Conference on Decision and Control (CDC)

Installing smart meters to publish real-time electricity rates has been controversial while it might lead to privacy concerns. Dispatched rates include fine-grained data on aggregate electricity consumption in a zone and could potentially be used to infer a household's pattern of energy use or its occupancy. In this paper, we propose Blowfish privacy to protect the occupancy state of the houses connected to a smart grid. First, we introduce a Markov model of the relationship between electricity rate and electricity consumption. Next, we develop an algorithm that perturbs electricity rates before publishing them to ensure users' privacy. Last, the proposed algorithm is tested on data inspired by household occupancy models and its performance is compared to an alternative solution.

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Type
conference paper
DOI
10.1109/CDC40024.2019.9029924
Author(s)
Ghoddousi Boroujeni, Mahrokh
Fay, Dominik
Dimitrakakis, Christos
Kamgarpour, Maryam  
Date Issued

2019-12

Publisher

IEEE

Publisher place

Nice, France

Published in
2019 IEEE 58th Conference on Decision and Control (CDC)
ISBN of the book

978-1-72811-398-2

Start page

5162

End page

5167

Editorial or Peer reviewed

REVIEWED

Written at

OTHER

EPFL units
SYCAMORE  
Event nameEvent placeEvent date
2019 IEEE 58th Conference on Decision and Control (CDC)

Nice, France

2019-12

Available on Infoscience
December 1, 2021
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/183315
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