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Optimization of a fuzzy controller using genetic algorithms for the indoor comfort control in buildings

Kolokotsa Dionysia, Stavrakakis Georgios, Kalaitzakis Kostas, Pouliezos Anastasios, Loukis Euripidis

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URIhttp://purl.tuc.gr/dl/dias/CF242025-AF95-4CE2-B5A9-9F254C0E6757-
Identifierhttp://www.tuc.gr/fileadmin/users_data/elci/Kalaitzakis/C.29.pdf-
Languageen-
Extent8en
TitleOptimization of a fuzzy controller using genetic algorithms for the indoor comfort control in buildingsen
CreatorKolokotsa Dionysiaen
CreatorΚολοκοτσα Διονυσιαel
CreatorStavrakakis Georgiosen
CreatorΣταυρακακης Γεωργιοςel
CreatorKalaitzakis Kostasen
CreatorΚαλαϊτζακης Κωσταςel
CreatorPouliezos Anastasiosen
CreatorΠουλιεζος Αναστασιοςel
CreatorLoukis Euripidisen
Content SummaryThe aim of this paper is the application of fuzzy control techniques coupled with Genetic Algorithms for preservation of air quality, thermal and visual comfort for buildings occupants. A fuzzy controller is developed for the control of the environmental parameters at the building zone level. The occupants’ preferences are monitored via a smart card unit. Genetic Algorithm optimization techniques are applied to shift the membership functions of the fuzzy controller in order to satisfy the occupants preferences while minimizing energy consumption. Simulations using MATLAB/SIMLULINK demonstrate that energy conservation reaches 22%. en
Type of ItemΠλήρης Δημοσίευση σε Συνέδριοel
Type of ItemConference Full Paperen
Licensehttp://creativecommons.org/licenses/by-nc-nd/4.0/en
Date of Item2015-11-09-
Date of Publication2001-
Bibliographic CitationD. Kolokotsa , G. Stavrakakis , K. Kalaitzakis , A. Pouliezos ,E. Loukis , "Optimization of a Fuzzy Controller using Genetic Algorithms for the Indoor Comfort Control in Buildings",presented at Proc. IFDICON 2001 Conf., Santorini, Greece, June. en

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