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dc.contributor.author
Khosravi, Mohammad
dc.contributor.author
Eichler, Annika
dc.contributor.author
Smith, Roy S.
dc.date.accessioned
2018-01-24T11:03:23Z
dc.date.available
2017-12-12T05:05:57Z
dc.date.available
2018-01-18T11:22:05Z
dc.date.available
2018-01-22T11:10:03Z
dc.date.available
2018-01-24T10:56:40Z
dc.date.available
2018-01-24T11:03:23Z
dc.date.issued
2017-09
dc.identifier.issn
1876-6102
dc.identifier.other
10.1016/j.egypro.2017.07.469
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/233550
dc.identifier.doi
10.3929/ethz-b-000233550
dc.description.abstract
With an increasing share of renewable energy sources, largely decentralized, energy hubs are gaining relevance in the energy landscape as promising solutions because they match local production with consumption. To efficiently control an energy hub a prediction of the energy consumption of the buildings in the hub is required. This work proposes an on-line identification scheme to identify the closed-loop behavior of buildings as they are usually under unknown local lower-level control. Since buildings are typically controlled in different modes depending on the time of day (night setback), an identification of a switched system is proposed, combining a classification step to identify the switching times followed by the identification of a piecewise linear model for each mode. As a test case an operational Swiss office building is considered.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Elsevier
en_US
dc.rights.uri
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject
Energy Hubs
en_US
dc.subject
energy management
en_US
dc.subject
identification
en_US
dc.subject
classification
en_US
dc.subject
switched systems
en_US
dc.subject
piece-wise linear regression
en_US
dc.title
Automated classification and identification procedure for prediction of energy consumption in multi-mode buildings
en_US
dc.type
Conference Paper
dc.rights.license
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
dc.date.published
2017-09-11
ethz.journal.title
Energy Procedia
ethz.journal.volume
122
en_US
ethz.pages.start
1021
en_US
ethz.pages.end
1026
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.event
7th International Conference on Future Buildings and Districts - Energy Efficiency from Nano to Urban Scale (CISBAT 2017)
en_US
ethz.event.location
Lausanne, Switzerland
en_US
ethz.event.date
September 6-8, 2017
en_US
ethz.identifier.wos
ethz.publication.place
Amsterdam
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02650 - Institut für Automatik / Automatic Control Laboratory::08814 - Smith, Roy (Tit.-Prof.)
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02650 - Institut für Automatik / Automatic Control Laboratory::08814 - Smith, Roy (Tit.-Prof.)
ethz.date.deposited
2017-12-12T05:06:15Z
ethz.source
WOS
ethz.source
BATCH
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2018-01-24T10:59:32Z
ethz.rosetta.lastUpdated
2019-02-02T14:10:50Z
ethz.rosetta.versionExported
true
dc.identifier.olduri
http://hdl.handle.net/20.500.11850/219909
dc.identifier.olduri
http://hdl.handle.net/20.500.11850/232167
ethz.COinS
ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.atitle=Automated%20classification%20and%20identification%20procedure%20for%20prediction%20of%20energy%20consumption%20in%20multi-mode%20buildings&rft.jtitle=Energy%20Procedia&rft.date=2017-09&rft.volume=122&rft.spage=1021&rft.epage=1026&rft.issn=1876-6102&rft.au=Khosravi,%20Mohammad&Eichler,%20Annika&Smith,%20Roy%20S.&rft.genre=proceeding&
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