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Reinforcement learning for energy conservation and comfort in buildings

Dalamagkidis, K, Kolokotsa Dionysia, Kalaitzakis Kostas, Stavrakakis Georgios

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URIhttp://purl.tuc.gr/dl/dias/3A1ED7FF-0347-4DA3-BA5B-DC6D77C28AED-
Identifierhttp://www.tuc.gr/fileadmin/users_data/elci/Kalaitzakis/J.38.pdf-
Identifierhttps://doi.org/10.1016/j.buildenv.2006.07.010-
Languageen-
Extent13en
TitleReinforcement learning for energy conservation and comfort in buildingsen
CreatorDalamagkidis, Ken
CreatorKolokotsa Dionysiaen
CreatorΚολοκοτσα Διονυσιαel
CreatorKalaitzakis Kostasen
CreatorΚαλαϊτζακης Κωσταςel
CreatorStavrakakis Georgiosen
CreatorΣταυρακακης Γεωργιοςel
PublisherElsevieren
DescriptionΔημοσίευση σε επιστημονικό περιοδικό el
Content SummaryThis paper deals with the issue of achieving comfort in buildings with minimal energy consumption. Specifically a reinforcement learning controller is developed and simulated using the Matlab/Simulink environment. The reinforcement learning signal used is a function of the thermal comfort of the building occupants, the indoor air quality and the energy consumption. This controller is then compared with a traditional on/off controller, as well as a Fuzzy-PD controller. The results show that, even after a couple of simulated years of training, the reinforcement learning controller has equivalent or better performance when compared to the other controllers.en
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-10-06-
Date of Publication2007-
SubjectEnergy managementen
Subject Indoor environmenten
SubjectReinforcement learningen
SubjectAdaptive controlen
SubjectEnergy efficiencyen
Bibliographic CitationK. Dalamagkidis, D. Kolokotsa, K. Kalaitzakis, and G.S. Stavrakakis, "Reinforcement learning for energy conservation and comfort in buildings," Building and Environment, vol. 42, no. 7, pp. 2686–2698, Jul. 2007. doi:10.1016/j.buildenv.2006.07.010en

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