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- W4200156696 abstract "Smart meters can measure high-precision electricity consumption data of users. The wide use of smart meters may cause users to worry about their privacy disclosure. This paper proposes new algorithms based on setting different strategies to control the battery. The idea of this paper is clustering historical household power load data and designing strategies to protect users' privacy. In order to prove the advance of our algorithms, we compare our algorithms with the previous best-effort and stepping framework algorithms. Through comparison, we can conclude that our algorithms have smaller mutual information, the privacy protection effect of our algorithms is better. At the end of the paper, we also research the performance differences of different algorithms under different battery capacity." @default.
- W4200156696 created "2021-12-31" @default.
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- W4200156696 date "2021-10-31" @default.
- W4200156696 modified "2023-09-26" @default.
- W4200156696 title "Privacy Protection Algorithms for Smart Meters Based on Cluster Analysis" @default.
- W4200156696 doi "https://doi.org/10.23919/icems52562.2021.9634669" @default.
- W4200156696 hasPublicationYear "2021" @default.
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