Automated generation method of recommendation for effective energy utilization as a HEMS service

Takahiro Hosoe, Tadanori Matsui, Hiroaki Nishi

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

Smart Grids and Home Energy Management System (HEMS) have been propagated by energy liberalization, and there is a demand for services, which are based on analysis of energy consumption data. For instance, a recommendation on effective utilization of home appliances in order to reduce power consumption. However, it is computationally expensive to analyze data in order to provide an energy-saving handbook, which recommends low-carbon life and is written in a natural language. This kind of service is called recommendation service. Existing automated recommendation services are constrained by the range of data usage, especially when using local information, such as status of surroundings, weather, residents' behavior, etc. The proposed method of automated generation of recommendation considers this background knowledge and information by using clustering methods. The result of a questionnaire which compared a handmade recommendation with the proposed fully-automated recommendation showed that 80% of the residents selected the automated recommendation because of its appropriateness.

本文言語English
ホスト出版物のタイトル2016 IEEE International Conference on Smart Grid Communications, SmartGridComm 2016
出版社Institute of Electrical and Electronics Engineers Inc.
ページ74-79
ページ数6
ISBN(電子版)9781509040759
DOI
出版ステータスPublished - 2016 12 8
イベント7th IEEE International Conference on Smart Grid Communications, SmartGridComm 2016 - Sydney, Australia
継続期間: 2016 11 62016 11 9

Other

Other7th IEEE International Conference on Smart Grid Communications, SmartGridComm 2016
国/地域Australia
CitySydney
Period16/11/616/11/9

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信
  • エネルギー工学および電力技術
  • 制御と最適化
  • 信号処理

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