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A privacy-preserving sharing method of electricity usage using self-organizing map
Author(s) -
Yuichi Nakamura,
Keiya Harada,
Hiroaki Nishi
Publication year - 2018
Publication title -
ict express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.733
H-Index - 22
ISSN - 2405-9595
DOI - 10.1016/j.icte.2018.01.004
Subject(s) - electricity , data sharing , smart grid , mains electricity , computer science , information privacy , environmental economics , data mining , power (physics) , computer security , engineering , economics , medicine , physics , alternative medicine , pathology , quantum mechanics , electrical engineering
Smart meters for measuring electricity usage are expected in electricity usage management. Although the relevant power supplier stores the measured data, the data are worth sharing among power suppliers because the entire data of a city will be required to control the regional grid stability or demand–supply balance. Even though many techniques and methods of privacy-preserving data mining have been studied to share data while preserving data privacy, a study on sharing electricity usage data is still lacking. In this paper, we propose a sharing method of electricity usage while preserving data privacy using a self-organizing map.

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