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Multi-room occupancy estimation through adaptive gray-box models
KTH, School of Electrical Engineering (EES), Automatic Control.ORCID iD: 0000-0003-0283-5717
KTH, School of Electrical Engineering (EES), Automatic Control.
KTH, School of Electrical Engineering (EES), Automatic Control.
Division of Signals and Systems, Department of Computer Science, Electrical and Space Engineering, Luleå University of Innovation and Technology.
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2015 (English)In: Decision and Control (CDC), 2015 IEEE 54th Annual Conference on, IEEE conference proceedings, 2015, 3705-3711 p.Conference paper (Other academic)
Abstract [en]

We consider the problem of estimating the occupancylevel in buildings using indirect information such as CO2 concentrations and ventilation levels. We assume that oneof the rooms is temporarily equipped with a device measuringthe occupancy. Using the collected data, we identify a gray-boxmodel whose parameters carry information about the structuralcharacteristics of the room. Exploiting the knowledge of thesame type of structural characteristics of the other rooms inthe building, we adjust the gray-box model to capture the CO2dynamics of the other rooms. Then the occupancy estimatorsare designed using a regularized deconvolution approach whichaims at estimating the occupancy pattern that best explainsthe observed CO2 dynamics. We evaluate the proposed schemethrough extensive simulation using a commercial software tool,IDA-ICE, for dynamic building simulation.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2015. 3705-3711 p.
Keyword [en]
Occupancy estimation, Maximum Likelihood, CO2 dynamics, inference, building automation
National Category
Control Engineering
URN: urn:nbn:se:kth:diva-178171DOI: 10.1109/CDC.2015.7402794ScopusID: 2-s2.0-84962030285OAI: diva2:877684
IEEE Conference on Decision and Control (CDC),15-18 Dec. 2015, Osaka, Japan

QC 20160212

Available from: 2015-12-07 Created: 2015-12-07 Last updated: 2016-02-12Bibliographically approved

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Ebadat, AfroozBottegal, GiulioMolinari, MarcoWahlberg, BoHjalmarsson, HåkanJohansson, Karl Henrik
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