Privacy boundary determination of smart meter data using an artificial intelligence adversary
Author:
Affiliation:
1. Department of Electronic Engineering, Royal Holloway University of London London UK
2. Department of Computer Science, Royal Holloway University of London London UK
Funder
Leverhulme Trust
Publisher
Hindawi Limited
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology,Modeling and Simulation
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/2050-7038.13020
Reference28 articles.
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5. Review of results on smart‐meter privacy by data manipulation, demand shaping, and load scheduling
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