Study on application of a neuro-fuzzy models in air conditioning systems

dc.creatorCosta H.R.N.
dc.creatorLa Neve A.
dc.date.accessioned2019-08-19T23:45:37Z
dc.date.accessioned2022-09-09T15:48:29Z
dc.date.accessioned2023-03-13T22:59:21Z
dc.date.available2019-08-19T23:45:37Z
dc.date.available2022-09-09T15:48:29Z
dc.date.available2023-03-13T22:59:21Z
dc.date.created2019-08-19T23:45:37Z
dc.date.created2022-09-09T15:48:29Z
dc.date.issued2015
dc.identifierCOSTA, HERBERT R. DO N.; LA NEVE, ALESSANDRO. Study on application of a neuro-fuzzy models in air conditioning systems. Soft Computing, v. 19, n. 4, p. 929-937, 2015.
dc.identifier1433-7479
dc.identifierhttp://148.201.128.228:8080/xmlui/handle/20.500.12032/8224
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/6196764
dc.description.abstract© 2014, Springer-Verlag Berlin Heidelberg.In this paper, we present the application of neuro-fuzzy system—ANFIS for air conditioning systems to reduce electricity consumption. The current buildings have automation systems that provide data on lighting, electrical system, air conditioning system, etc. We studied the air conditioning system, in particular, to reduce energy consumption as air conditioning has a high consumption value. Our main goal in this study is the application of neuro-fuzzy system—ANFIS with the adjustment of the rules made by a decision tree—CART algorithm in air conditioning system. We compared the results of the application of the ANFIS-CART system with the application of PID controllers and fuzzy control system for a central air conditioning.
dc.relationSoft Computing
dc.rightsAcesso Restrito
dc.titleStudy on application of a neuro-fuzzy models in air conditioning systems
dc.typeArtigo


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