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Blind identification strategies for room occupancy estimation
School of Electrical Engineering, KTH Royal Institute of Technology.
School of Electrical Engineering, KTH Royal Institute of Technology.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0002-4310-7938
School of Electrical Engineering, KTH Royal Institute of Technology.
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2015 (English)In: 2015 European Control Conference (ECC): Linz, 15-17 July 2015, Piscataway, NJ: IEEE Communications Society, 2015, p. 1315-1320, article id 7330720Conference paper, Published paper (Refereed)
Abstract [en]

We propose and test on real data a two-tier estimation strategy for inferring occupancy levels from measurements of CO2 concentration and temperature levels. The first tier is a blind identification step, based either on a frequentist Maximum Likelihood method, implemented using non-linear optimization, or on a Bayesian marginal likelihood method, implemented using a dedicated Expectation-Maximization algorithm. The second tier resolves the ambiguity of the unknown multiplicative factor, and returns the final estimate of the occupancy levels. The overall procedure addresses some practical issues of existing occupancy estimation strategies. More specifically, first it does not require the installation of special hardware, since it uses measurements that are typically available in many buildings. Second, it does not require apriori knowledge on the physical parameters of the building, since it performs system identification steps. Third, it does not require pilot data containing measured real occupancy patterns (i.e., physically counting people for some periods, a typically expensive and time consuming step), since the identification steps are blind.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2015. p. 1315-1320, article id 7330720
National Category
Control Engineering
Research subject
Control Engineering; Enabling ICT (AERI); Intelligent industrial processes (AERI)
Identifiers
URN: urn:nbn:se:ltu:diva-31392DOI: 10.1109/ECC.2015.7330720Scopus ID: 2-s2.0-84963813624Local ID: 58f465de-64a5-406c-aa4c-b92be5c4353aISBN: 978-3-9524269-3-7 (electronic)OAI: oai:DiVA.org:ltu-31392DiVA, id: diva2:1004626
Conference
European Control Conference : 15/07/2015 - 17/07/2015
Note
Godkänd; 2015; 20150327 (damvar)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2018-07-10Bibliographically approved

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Varagnolo, Damiano

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CiteExportLink to record
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Citation style
  • apa
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