Το έργο με τίτλο Optimization of a fuzzy controller using genetic algorithms for the indoor comfort control in buildings από τον/τους δημιουργό/ούς Kolokotsa Dionysia, Stavrakakis Georgios, Kalaitzakis Kostas, Pouliezos Anastasios, Loukis Euripidis διατίθεται με την άδεια Creative Commons Αναφορά Δημιουργού-Μή Εμπορική Χρήση-Όχι Παράγωγα Έργα 4.0 Διεθνές
Βιβλιογραφική Αναφορά
D. 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.
The aim of this paper is the application of fuzzy control techniques coupled with Genetic Algorithms for preservation ofair quality, thermal and visual comfort for buildings occupants. A fuzzy controller is developed for the control of theenvironmental 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 inorder to satisfy the occupants preferences while minimizing energy consumption. Simulations usingMATLAB/SIMLULINK demonstrate that energy conservation reaches 22%.