Modeling Appliance Usage Privacy of a Group of Consumers using Smart Meter Data

Gangopadhyay, S and Das, S (2023) Modeling Appliance Usage Privacy of a Group of Consumers using Smart Meter Data. In: IEEE Energy Conversion Congress and Exposition, ECCE 2023, 29 October - 2 November 2023, Nashville, pp. 1522-1529.

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Abstract

Mining of smart meter data can reveal the appliance usage pattern of a consumer, thus resulting in the invasion of the consumer's appliance usage privacy. This paper proposes a mathematical model for quantifying the amount of appliance usage information that can be obtained from the energy consumption data of a group of consumers. At first, the notion of appliance usage privacy of consumers is discussed. Then, based on this notion, a mathematical function is developed that models appliance usage privacy of a group of consumers based on the time rate of fluctuation in their consecutive real power measurements. It is ensured that the amount of appliance usage information obtainable from the smart meter data of a group of consumers i) does not decrease with increase in the data volume, ii) does not decrease with increase in the number of consumers in the group, iii) does not increase with temporal aggregation, and iv) does not increase with spatial aggregation. The proposed model not only captures the appliance usage information of each consumer in a group but also models the relative appliance usage behavior of one consumer with respect to another consumer in the group. Practical smart meter data are used to quantify the effectiveness of spatio-temporal aggregation towards minimising the loss of appliance usage privacy of consumers. Results show that the proposed model satisfactorily captures the impact of spatio-temporal aggregation on the loss of appliance usage privacy of consumers. © 2023 IEEE.

Item Type:	Conference Paper
Publication:	2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023
Publisher:	Institute of Electrical and Electronics Engineers Inc.
Additional Information:	The copyright for this article belongs to Institute of Electrical and Electronics Engineers Inc.
Department/Centre:	Division of Electrical Sciences > Electrical Engineering
Date Deposited:	01 Mar 2024 08:13
Last Modified:	01 Mar 2024 08:13
URI:	https://eprints.iisc.ac.in/id/eprint/84038

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