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

Yuichi Nakamura; Keiya Harada; Hiroaki Nishi

doi:10.1016/j.icte.2018.01.004

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

Yuichi Nakamura^*, Keiya Harada, Hiroaki Nishi

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

5 Citations (Scopus)

Abstract

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.

Original language	English
Pages (from-to)	24-29
Number of pages	6
Journal	ICT Express
Volume	4
Issue number	1
DOIs	https://doi.org/10.1016/j.icte.2018.01.004
Publication status	Published - 2018 Mar
Externally published	Yes

Keywords

Data sharing
Privacy preserving
Self-Organizing map

ASJC Scopus subject areas

Software
Information Systems
Hardware and Architecture
Computer Networks and Communications
Artificial Intelligence

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.icte.2018.01.004

Cite this

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title = "A privacy-preserving sharing method of electricity usage using self-organizing map",

abstract = "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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AU - Nishi, Hiroaki

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PY - 2018/3

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N2 - 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.

AB - 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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KW - Privacy preserving

KW - Self-Organizing map

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

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

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