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ThinkMind // ENERGY 2020, The Tenth International Conference on Smart Grids, Green Communications and IT Energy-aware Technologies // View article energy_2020_2_30_38003


When Privacy Protection Meets Non-Intrusive Load Monitoring: Trade-off Analysis and Privacy Schemes via Residential Energy Storage

Authors:
Sangyoung Park
Andrea Cominola

Keywords: Non-Intrusive Load Monitoring, Privacy, Battery

Abstract:
Non-Intrusive Load Monitoring (NILM) algorithms are actively being researched to disaggregate the electricity usage of a whole household into the contribution of individual appliances. While understanding the usage patterns of individual appliances can be beneficial for flattening the peak demand, reducing the electricity bill, and improving the energy usage efficiency, NILM algorithms raise privacy concerns. Residential energy storage could be used to relieve such concerns by modifying the monitored electricity profile. However, residential energy storage systems are yet costly, and hence assessing the financial overhead of privacy protection techniques is important. In this paper, we provide motivational examples and early results on how much residential energy storage would be required to fool a state-of-the-art NILM algorithm. Our preliminary results on the trade-off between NILM accuracy and privacy protection indicate that some intuitive approaches that require a significant amount of battery capacity are not necessarily the most effective in reducing the disaggregation accuracy.

Pages: 56 to 61

Copyright: Copyright (c) IARIA, 2020

Publication date: September 27, 2020

Published in: conference

ISSN: 2308-412X

ISBN: 978-1-61208-788-7

Location: Lisbon, Portugal

Dates: from September 27, 2020 to October 1, 2020

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