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Marrying Machine Learning and Model Predictive Control for efficient Building Energy Management
dc.contributor.author
Bünning, Felix
dc.contributor.supervisor
Lygeros, John
dc.contributor.supervisor
Heer, Philipp
dc.contributor.supervisor
Norford, Leslie
dc.date.accessioned
2022-01-19T12:38:22Z
dc.date.available
2022-01-19T12:38:22Z
dc.date.issued
2021-12-15
dc.identifier.uri
http://hdl.handle.net/20.500.11850/526883
dc.language.iso
en
en_US
dc.subject
Model predictive control (MPC)
en_US
dc.subject
Data driven control
en_US
dc.subject
Building energy
en_US
dc.subject
Heating control
en_US
dc.subject
Demand forecasting
en_US
dc.subject
Experiments
en_US
dc.title
Marrying Machine Learning and Model Predictive Control for efficient Building Energy Management
en_US
dc.type
Doctoral Thesis
ethz.code.ddc
DDC - DDC::6 - Technology, medicine and applied sciences::620 - Engineering & allied operations
en_US
ethz.code.ddc
DDC - DDC::6 - Technology, medicine and applied sciences::621.3 - Electric engineering
en_US
ethz.code.ddc
DDC - DDC::6 - Technology, medicine and applied sciences::690 - Buildings
en_US
ethz.identifier.diss
28039
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::03751 - Lygeros, John / Lygeros, John
en_US
ethz.date.deposited
2022-01-19T12:38:28Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.doipreview
Yes
en_US
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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Publication type
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Doctoral Thesis [28809]