Presentation 2013-11-13
Energy Disaggregation for Appliance Loads Based on Semi-Supervised NMF
Yu FUJIMOTO, Naoki OKUBO, Yasuhiro HAYASHI, Yoshimasa SUGITATE, Shiro OGATA,
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Abstract(in English) The authors propose an application of non-negative matrix factorization for the energy disaggregation task. The method is based on a semi-supervised learning framework using the additional information of binary appliance-wise usage history such that the appliance is used or not used.
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Keyword(in English) Energy Disaggregation / Non-negative Matrix Factorization / Semi-supervised Learning / Sparseness
Paper # IBISML2013-60
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Committee IBISML
Conference Date 2013/11/5(1days)
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Registration To Information-Based Induction Sciences and Machine Learning (IBISML)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Energy Disaggregation for Appliance Loads Based on Semi-Supervised NMF
Sub Title (in English)
Keyword(1) Energy Disaggregation
Keyword(2) Non-negative Matrix Factorization
Keyword(3) Semi-supervised Learning
Keyword(4) Sparseness
1st Author's Name Yu FUJIMOTO
1st Author's Affiliation Waseda University()
2nd Author's Name Naoki OKUBO
2nd Author's Affiliation Waseda University
3rd Author's Name Yasuhiro HAYASHI
3rd Author's Affiliation Waseda University
4th Author's Name Yoshimasa SUGITATE
4th Author's Affiliation Omron Corpolation
5th Author's Name Shiro OGATA
5th Author's Affiliation Omron Corpolation
Date 2013-11-13
Paper # IBISML2013-60
Volume (vol) vol.113
Number (no) 286
Page pp.pp.-
#Pages 6
Date of Issue