電力消費量データを活用した省エネルギーアドバイスレポートの自動生成システム

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2014/09/01

タイトル(英語): Automatic Generating System for Reports on Energy Conservation Tips Based on Electricity Demand Data

著者名: 小松　秀徳（（一財）電力中央研究所 システム技術研究所），西尾　健一郎（（一財）電力中央研究所 社会経済研究所），向井　登志広（（一財）電力中央研究所 社会経済研究所），篠原　靖志（（一財）電力中央研究所 システム技術研究所）

著者名(英語): Hidenori Komatsu (Central Research Institute of Electric Power Industry), Ken-ichiro Nishio (Central Research Institute of Electric Power Industry), Toshihiro Mukai (Central Research Institute of Electric Power Industry), Yasushi Shinohara (Central Research Institute of Electric Power Industry)

キーワード: 省エネルギー，ナッジ，探索コスト，社会規範，アルゴリズム　　Energy conservation，Nudge，Search cost，Social norms，Algorithm

要約(英語): As the growing penetration of HEMS (Home Energy Management System) and smart meters, systems to dynamically process demand data and then to automatically provide information on energy conservation are starting to receive wide attention, especially in the U. S. Not only to utilize such systems for customers in Japan, but also to maximally enhance the effect, it is essential to consider the particular problem in Japan that reducing peak-time demand of electric system is especially expected, alongside to consider how real human beings react on provided information. We propose a method to automatically generate the reports on energy conservation tips to ‘Nudge' customer's energy conserving behaviors, based on each customer's electricity demand data. The reports feature the aspects of real human behaviors, including search cost, social norms, and expression to emphasize nuances of the information, to mainly aim at reducing electric system's peak-time demand. The paper includes the preliminary analysis results of the effect of reports generated by the proposed method, and further necessary points to be analyzed from the viewpoint of actual behavioral change are also discussed.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.134 No.9 （2014） 特集Ⅰ：制御系設計における適応・学習・同定・モデリングの新展開　特集Ⅱ：インテリジェント・システム

本誌掲載ページ: 1394-1405 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/134/9/134_1394/_article/-char/ja/