A privacy-preserving sharing method of electricity usage using self-organizing map

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 dema...

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Bibliographic Details
Main Authors: Yuichi Nakamura, Keiya Harada, Hiroaki Nishi
Format: Article
Language:English
Published: Elsevier 2018-03-01
Series:ICT Express
Online Access:http://www.sciencedirect.com/science/article/pii/S2405959517303594
Description
Summary: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. Keywords: Privacy preserving, Data sharing, Self-Organizing map
ISSN:2405-9595