Multi-room occupancy estimation through adaptive gray-box models
2015 (English)In: Decision and Control (CDC), 2015 IEEE 54th Annual Conference on, IEEE conference proceedings, 2015, 3705-3711 p.Conference paper (Other academic)
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.
Occupancy estimation, Maximum Likelihood, CO2 dynamics, inference, building automation
IdentifiersURN: urn:nbn:se:kth:diva-178171DOI: 10.1109/CDC.2015.7402794ScopusID: 2-s2.0-84962030285OAI: oai:DiVA.org:kth-178171DiVA: diva2:877684
IEEE Conference on Decision and Control (CDC),15-18 Dec. 2015, Osaka, Japan
QC 201602122015-12-072015-12-072016-02-12Bibliographically approved