Sökning: onr:"swepub:oai:DiVA.org:ltu-37438" > Multi-room occupanc...
Fältnamn | Indikatorer | Metadata |
---|---|---|
000 | 04125naa a2200517 4500 | |
001 | oai:DiVA.org:ltu-37438 | |
003 | SwePub | |
008 | 161003s2015 | |||||||||||000 ||eng| | |
009 | oai:DiVA.org:kth-178171 | |
024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-374382 URI |
024 | 7 | a https://doi.org/10.1109/CDC.2015.74027942 DOI |
024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-1781712 URI |
040 | a (SwePub)ltud (SwePub)kth | |
041 | a engb eng | |
042 | 9 SwePub | |
072 | 7 | a ref2 swepub-contenttype |
072 | 7 | a kon2 swepub-publicationtype |
100 | 1 | a Ebadat, Afroozu KTH,Reglerteknik,Department of Automatic Control, KTH Royal Institute of Technology, Sweden4 aut0 (Swepub:kth)u14z91ul |
245 | 1 0 | a Multi-room occupancy estimation through adaptive gray-box models |
264 | 1 | a Piscataway, NJ :b IEEE Communications Society,c 2015 |
338 | a print2 rdacarrier | |
500 | a Godkänd; 2015; 20160418 (andbra) | |
500 | a QC 20160212 | |
520 | a 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. | |
650 | 7 | a TEKNIK OCH TEKNOLOGIERx Elektroteknik och elektronikx Reglerteknik0 (SwePub)202022 hsv//swe |
650 | 7 | a ENGINEERING AND TECHNOLOGYx Electrical Engineering, Electronic Engineering, Information Engineeringx Control Engineering0 (SwePub)202022 hsv//eng |
653 | a Occupancy estimation | |
653 | a Maximum Likelihood | |
653 | a CO2 dynamics | |
653 | a inference | |
653 | a building automation | |
653 | a Reglerteknik | |
653 | a Control Engineering | |
700 | 1 | a Bottegal, Giulio,d 1984-u KTH,Reglerteknik,Department of Automatic Control, KTH Royal Institute of Technology, Sweden4 aut0 (Swepub:kth)u12otpgc |
700 | 1 | a Molinari, Marcou KTH,Reglerteknik,Department of Automatic Control, KTH Royal Institute of Technology, Sweden4 aut0 (Swepub:kth)u1gyp8gh |
700 | 1 | a Varagnolo, Damianou Luleå tekniska universitet,Signaler och system,Division of Signals and Systems, Department of Computer Science, Electrical and Space Engineering, Luleå University of Innovation and Technology4 aut0 (Swepub:ltu)damvar |
700 | 1 | a Wahlberg, Bou KTH,Reglerteknik,Kungliga Tekniska Hogskolan, Stockholm, Sweden4 aut0 (Swepub:kth)u18c1tfa |
700 | 1 | a Hjalmarsson, Håkan,d 1962-u KTH,Reglerteknik,Department of Automatic Control, KTH Royal Institute of Technology, Sweden4 aut0 (Swepub:kth)u10a8l40 |
700 | 1 | a Johansson, Karl Henriku KTH,Reglerteknik,ACCESS Linnaeus Centre,Department of Automatic Control, KTH Royal Institute of Technology, Sweden4 aut0 (Swepub:kth)u1h0d9k2 |
710 | 2 | a KTHb Reglerteknik4 org |
773 | 0 | t IEEE 54th Annual Conference on Decision and Control (CDC)d Piscataway, NJ : IEEE Communications Societyg , s. 3705-3711, s. 3705-3711q <3705-3711z 9781479978861 |
773 | 0 | t Decision and Control (CDC), 2015 IEEE 54th Annual Conference ond Piscataway, NJ : IEEE Communications Societyg , s. 3705-3711, s. 3705-3711q <3705-3711<3705-3711 |
856 | 4 | u https://kth.diva-portal.org/smash/get/diva2:877684/FULLTEXT01.pdfx primaryx Raw objecty fulltext:postprint |
856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-37438 |
856 | 4 8 | u https://doi.org/10.1109/CDC.2015.7402794 |
856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-178171 |
Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.