Presentation 2012-12-13
Action Recommendation Method based on Consumption Prediction for Energy Management Service
Nobuhiro Sekimoto, Kazuyuki Shimada, Hideyuki Ban,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) An "Action Recommendation" technology for the energy-saving system is proposed. It is examined as the application possibility of the Motivation Management Technology (MMT) to the energy management system and its service. The features are, (1) predict the coming consumption transition using the consumption results of the past day with similar attributes, (2) recommend the suitable action to reduce the predicted consumption from many action items.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Energy Management Service / Motivation Management Technology / Action Recommendation / Consumption Prediction
Paper # PRMU2012-71,HIP2012-60
Date of Issue

Conference Information
Committee PRMU
Conference Date 2012/12/6(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Action Recommendation Method based on Consumption Prediction for Energy Management Service
Sub Title (in English)
Keyword(1) Energy Management Service
Keyword(2) Motivation Management Technology
Keyword(3) Action Recommendation
Keyword(4) Consumption Prediction
1st Author's Name Nobuhiro Sekimoto
1st Author's Affiliation YRL, Hitachi, Ltd.()
2nd Author's Name Kazuyuki Shimada
2nd Author's Affiliation CRL, Hitachi, Ltd.
3rd Author's Name Hideyuki Ban
3rd Author's Affiliation CRL, Hitachi, Ltd.
Date 2012-12-13
Paper # PRMU2012-71,HIP2012-60
Volume (vol) vol.112
Number (no) 357
Page pp.pp.-
#Pages 6
Date of Issue