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Applications of intelligent methods in solar heaters: an updated review

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dc.citedby4
dc.contributor.authorAlhuyi Nazari M.en_US
dc.contributor.authorMukhtar A.en_US
dc.contributor.authorYasir A.S.H.M.en_US
dc.contributor.authorRashidi M.M.en_US
dc.contributor.authorAhmadi M.H.en_US
dc.contributor.authorBlazek V.en_US
dc.contributor.authorProkop L.en_US
dc.contributor.authorMisak S.en_US
dc.contributor.authorid57197717697en_US
dc.contributor.authorid57195426549en_US
dc.contributor.authorid58518504200en_US
dc.contributor.authorid57189276752en_US
dc.contributor.authorid55016898100en_US
dc.contributor.authorid57195261596en_US
dc.contributor.authorid23393638900en_US
dc.contributor.authorid34977261800en_US
dc.date.accessioned2024-10-14T03:20:49Z
dc.date.available2024-10-14T03:20:49Z
dc.date.issued2023
dc.description.abstractHeating and thermal comfort have remarkable share of final energy consumption. Until now, most of the demand for heating applications in buildings is supplied by fossil fuels and electrical technologies. Concerning the exhaustion of fossil fuels in the future and the environmental problems related to their consumption, making use of renewable energy sources can be a practical alternative. On this point, solar energy is an appropriate source to be applied for heating by utilizing different technologies. The function and output of solar heaters depends on numerous factors, and this causes difficulties in the prediction of their performance and modelling. In this scenario, intelligent techniques are helpful and have been used by several scholars in recent years. This paper reviews proposed models for the prediction of the performance of different solar heaters. The literature review reveals that artificial neural Networks represent one of the most used approaches for the performance prediction of solar heatersen_US
dc.description.abstracthowever, other intelligent techniques, namely support vector machines, have been used for this purpose too. Moreover, it is found that these methods have the ability to predict with great precision by applying the appropriate approach and architecture. In addition, it can be noted that the function of the models generated based on intelligent techniques are associated with some elements such as the employed function and architecture of the model. � 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo2229882
dc.identifier.doi10.1080/19942060.2023.2229882
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85166181340
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85166181340&doi=10.1080%2f19942060.2023.2229882&partnerID=40&md5=31fd80f63b3d6e33a1136d44951c6741
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/34580
dc.identifier.volume17
dc.publisherTaylor and Francis Ltd.en_US
dc.relation.ispartofAll Open Access
dc.relation.ispartofGold Open Access
dc.sourceScopus
dc.sourcetitleEngineering Applications of Computational Fluid Mechanics
dc.subjectartificial neural network
dc.subjectintelligent methods
dc.subjectrenewable energy
dc.subjectSolar heaters
dc.titleApplications of intelligent methods in solar heaters: an updated reviewen_US
dc.typeReviewen_US
dspace.entity.typePublication
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