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Multi-room occupanc...
Multi-room occupancy estimation through adaptive gray-box models
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- Ebadat, Afrooz (author)
- KTH,Reglerteknik,Department of Automatic Control, KTH Royal Institute of Technology, Sweden
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- Bottegal, Giulio, 1984- (author)
- KTH,Reglerteknik,Department of Automatic Control, KTH Royal Institute of Technology, Sweden
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- Molinari, Marco (author)
- KTH,Reglerteknik,Department of Automatic Control, KTH Royal Institute of Technology, Sweden
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- Varagnolo, Damiano (author)
- Luleå tekniska universitet,Signaler och system,Division of Signals and Systems, Department of Computer Science, Electrical and Space Engineering, Luleå University of Innovation and Technology
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- Wahlberg, Bo (author)
- KTH,Reglerteknik,Kungliga Tekniska Hogskolan, Stockholm, Sweden
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- Hjalmarsson, Håkan, 1962- (author)
- KTH,Reglerteknik,Department of Automatic Control, KTH Royal Institute of Technology, Sweden
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- Johansson, Karl Henrik (author)
- KTH,Reglerteknik,ACCESS Linnaeus Centre,Department of Automatic Control, KTH Royal Institute of Technology, Sweden
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(creator_code:org_t)
- Piscataway, NJ : IEEE Communications Society, 2015
- 2015
- English.
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In: IEEE 54th Annual Conference on Decision and Control (CDC). - Piscataway, NJ : IEEE Communications Society. - 9781479978861 ; , s. 3705-3711, s. 3705-3711
- Related links:
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https://kth.diva-por... (primary) (Raw object)
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https://urn.kb.se/re...
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https://doi.org/10.1...
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https://urn.kb.se/re...
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Abstract
Subject headings
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- We consider the problem of estimating the occupancy level in buildings using indirect information such as CO2 concentrations and ventilation levels. We assume that one of the rooms is temporarily equipped with a device measuring the occupancy. Using the collected data, we identify a gray-box model whose parameters carry information about the structural characteristics of the room. Exploiting the knowledge of the same type of structural characteristics of the other rooms in the building, we adjust the gray-box model to capture the CO2 dynamics of the other rooms. Then the occupancy estimators are designed using a regularized deconvolution approach which aims at estimating the occupancy pattern that best explains the observed CO2 dynamics. We evaluate the proposed scheme through extensive simulation using a commercial software tool, IDA-ICE, for dynamic building simulation.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)
Keyword
- Occupancy estimation
- Maximum Likelihood
- CO2 dynamics
- inference
- building automation
- Reglerteknik
- Control Engineering
Publication and Content Type
- ref (subject category)
- kon (subject category)
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