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Modelling privacy of smart meter data

Gangopadhyay, S and Das, S (2020) Modelling privacy of smart meter data. In: IEEE Power and Energy Society General Meeting, 2-6 August 2020, Montreal; Canada.

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Official URL: https://dx.doi.org/10.1109/PESGM41954.2020.9281804


Smart meter data form the backbone of various data driven distribution system applications ranging from demand response, outage management, power theft detection, capacitor bank switching to distribution network planning and asset management. However, a consumer's concern for privacy often limits the usage of smart meter data. Privacy preserving algorithms have been proposed to address privacy concern of the consumers. However, lack of a privacy model inhibits estimation of privacy preserved by these algorithms. Privacy pricing can be an alternate approach to encourage smart meter data sharing by incentivizing consumers. However, price estimation of privacy is a challenging task due to the lack of a mathematical privacy model. Unavailability of a privacy model makes it difficult to quantity the privacy of smart meter data. This paper proposes a mathematical model for objective assessment of privacy of smart meter energy data. At first, the possible applications of privacy model of smart meter data are presented. Then, the notion of smart meter data privacy is discussed. Based on this notion, a mathematical model is proposed to quantity the privacy of a time series of energy data. Privacy of practical smart meter data is evaluated using proposed model. The model is also used to study the impact of metering interval and time series length on privacy. The results demonstrate the efficacy of the proposed model. © 2020 IEEE.

Item Type: Conference Paper
Publication: IEEE Power and Energy Society General Meeting
Publisher: IEEE Computer Society
Additional Information: cited By 0; Conference of 2020 IEEE Power and Energy Society General Meeting, PESGM 2020 ; Conference Date: 2 August 2020 Through 6 August 2020; Conference Code:165854
Keywords: Data Sharing; Estimation; Information management; Privacy by design; Random access storage; Time series, Alternate approaches; Capacitor bank switching; Distribution network planning; Distribution systems; Objective assessment; Outage management; Price estimation; Privacy preserving, Smart meters
Department/Centre: Division of Electrical Sciences > Electrical Engineering
Date Deposited: 27 Jan 2021 05:25
Last Modified: 27 Jan 2021 05:25
URI: http://eprints.iisc.ac.in/id/eprint/67841

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