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

Yuuichi Nakamura, Keiya Harada, Hiroaki Nishi

Research output: Contribution to journalArticle

4 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 languageEnglish
Pages (from-to)24-29
Number of pages6
JournalSI: CI & Smart Grid Cyber Security
Volume4
Issue number1
DOIs
Publication statusPublished - 2018 Mar 1

Keywords

  • Data sharing
  • Privacy preserving
  • Self-Organizing map

ASJC Scopus subject areas

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

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