Journal ArticleDOI
Smart Meter Privacy: A Theoretical Framework
TLDR
A new framework is presented that abstracts both the privacy and the utility requirements of smart meter data and exploits the presence of high-power but less private appliance spectra as implicit distortion noise to create an optimal privacy-preserving solution.Abstract:
The solutions offered to-date for end-user privacy in smart meter measurements, a well-known challenge in the smart grid, have been tied to specific technologies such as batteries or assumptions on data usage without quantifying the loss of benefit (utility) that results from any such approach. Using tools from information theory and a hidden Markov model for the measurements, a new framework is presented that abstracts both the privacy and the utility requirements of smart meter data. This leads to a novel privacy-utility tradeoff problem with minimal assumptions that is tractable. For a stationary Gaussian model of the electricity load, it is shown that for a desired mean-square distortion (utility) measure between the measured and revealed data, the optimal privacy-preserving solution: i) exploits the presence of high-power but less private appliance spectra as implicit distortion noise, and ii) filters out frequency components with lower power relative to a distortion threshold; this approach encompasses many previously proposed approaches to smart meter privacy.read more
Citations
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Journal ArticleDOI
Review of Smart Meter Data Analytics: Applications, Methodologies, and Challenges
TL;DR: An application-oriented review of smart meter data analytics identifies the key application areas as load analysis, load forecasting, and load management and reviews the techniques and methodologies adopted or developed to address each application.
Journal ArticleDOI
Review of Smart Meter Data Analytics: Applications, Methodologies, and Challenges
TL;DR: In this paper, the authors conduct an application-oriented review of smart meter data analytics following the three stages of analytics, namely, descriptive, predictive and prescriptive analytics, identifying the key application areas as load analysis, load forecasting, and load management.
Journal ArticleDOI
Smart Electricity Meter Data Intelligence for Future Energy Systems: A Survey
Damminda Alahakoon,Xinghuo Yu +1 more
TL;DR: A comprehensive survey of smart electricity meters and their utilization is presented focusing on key aspects of the metering process, different stakeholder interests, and the technologies used to satisfy stakeholder interest.
Journal ArticleDOI
Utility-Privacy Tradeoffs in Databases: An Information-Theoretic Approach
TL;DR: This paper presents an information-theoretic framework that promises an analytical model guaranteeing tight bounds of how much utility is possible for a given level of privacy and vice-versa.
Journal ArticleDOI
Differential Privacy Techniques for Cyber Physical Systems: A Survey
TL;DR: This paper surveys the application and implementation of differential privacy in four major applications of CPSs named as energy systems, transportation systems, healthcare and medical systems, and industrial Internet of things (IIoT).
References
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Proceedings ArticleDOI
Protecting consumer privacy from electric load monitoring
TL;DR: This paper introduces a new class of algorithms and systems, called Non Intrusive Load Leveling (NILL), which uses an in-residence battery to mask variance in load on the grid, thus eliminating exposure of the appliance-driven information used to compromise consumer privacy.
Journal ArticleDOI
Using appliance signatures for monitoring residential loads at meter panel level
TL;DR: In this paper, an initial approach to identifying electrical household appliances strictly by analyzing variations in current-voltage signals at the meter panel level is presented, where the authors show that local measurement of variations in active and reactive power is sufficient in most cases to identify an appliance.
Journal ArticleDOI
SmartPrivacy for the Smart Grid: embedding privacy into the design of electricity conservation
TL;DR: In this article, the authors argue that we must take great care not to sacrifice consumer privacy amidst an atmosphere of unbridled enthusiasm for electricity reform, and they advocate the adoption of Dr. Ann Cavoukian's conceptual model "SmartPrivacy" to prevent potential invasions of privacy while ensuring full functionality of the Smart Grid.
Proceedings ArticleDOI
Smart meter privacy using a rechargeable battery: Minimizing the rate of information leakage
David Varodayan,Ashish Khisti +1 more
TL;DR: It is shown that stochastic battery policies can leak 26% less information than a so-called best-effort algorithm (that holds the output load constant whenever possible) and the technique is extended to more realistic models of the battery system.