Presentation 2012-05-17
Modeling home appliance power consumption by interval-based switching Kalman filters
Kohei HAZE, Takekazu KATO, Takashi MATSUYAMA,
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Abstract(in English) This paper describes power consumption pattern modeling for home appliances. The power consumption model realizes power consumption prediction, appliance status recognition and irregularity detection. The technology is expected to effective home energy management systems. Recently, home appliances have various pat-terns of power consumption caused by intelligent power control function against environment factors. Cope with this problem; we proposed a new dynamical system model, which call it Interval-based switching Kalman Filters (ISKF). It has some continuous dynamic systems and switches the systems discontinuously according to the probabilistic timed automaton. We proposed leaning algorithm for ISKF and power consumption prediction algorithm by ISKF. Experimental result shows effectiveness of the proposed method by leaning / prediction of the power consumption pattern for home appliances, heir dryer, cleaner and a washing machine.
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Keyword(in English) Kalman filter / timed-automaton / modeling home appliance power consumption / scale-space filter / home appliance consumption prediction
Paper # USN2012-4
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Committee USN
Conference Date 2012/5/10(1days)
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Registration To Ubiquitous and Sensor Networks(USN)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Modeling home appliance power consumption by interval-based switching Kalman filters
Sub Title (in English)
Keyword(1) Kalman filter
Keyword(2) timed-automaton
Keyword(3) modeling home appliance power consumption
Keyword(4) scale-space filter
Keyword(5) home appliance consumption prediction
1st Author's Name Kohei HAZE
1st Author's Affiliation Graduate School of Informatics, Kyoto University()
2nd Author's Name Takekazu KATO
2nd Author's Affiliation Academic Center for Computing and Media Studies, Kyoto University
3rd Author's Name Takashi MATSUYAMA
3rd Author's Affiliation Graduate School of Informatics, Kyoto University
Date 2012-05-17
Paper # USN2012-4
Volume (vol) vol.112
Number (no) 31
Page pp.pp.-
#Pages 6
Date of Issue