Artificial intelligence techniques in refrigeration system modelling and optimization: A multi-disciplinary review

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Main Authors: Ahmed, Rasel, Mahadzir, Shuhaimi, Rozali, Nor Erniza Mohammad, Biswas, Kallol, Matovu, Fahad, Ahmed, Kamran
Format: Article
Published: Elsevier 2021
Online Access:http://scholars.utp.edu.my/id/eprint/34601/
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spelling oai:scholars.utp.edu.my:346012023-03-17T14:17:51Z http://scholars.utp.edu.my/id/eprint/34601/ Artificial intelligence techniques in refrigeration system modelling and optimization: A multi-disciplinary review Ahmed, Rasel Mahadzir, Shuhaimi Rozali, Nor Erniza Mohammad Biswas, Kallol Matovu, Fahad Ahmed, Kamran Elsevier 2021 Article NonPeerReviewed Ahmed, Rasel and Mahadzir, Shuhaimi and Rozali, Nor Erniza Mohammad and Biswas, Kallol and Matovu, Fahad and Ahmed, Kamran (2021) Artificial intelligence techniques in refrigeration system modelling and optimization: A multi-disciplinary review. Sustainable Energy Technologies and Assessments, 47. p. 101488.
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
format Article
author Ahmed, Rasel
Mahadzir, Shuhaimi
Rozali, Nor Erniza Mohammad
Biswas, Kallol
Matovu, Fahad
Ahmed, Kamran
spellingShingle Ahmed, Rasel
Mahadzir, Shuhaimi
Rozali, Nor Erniza Mohammad
Biswas, Kallol
Matovu, Fahad
Ahmed, Kamran
Artificial intelligence techniques in refrigeration system modelling and optimization: A multi-disciplinary review
author_facet Ahmed, Rasel
Mahadzir, Shuhaimi
Rozali, Nor Erniza Mohammad
Biswas, Kallol
Matovu, Fahad
Ahmed, Kamran
author_sort Ahmed, Rasel
title Artificial intelligence techniques in refrigeration system modelling and optimization: A multi-disciplinary review
title_short Artificial intelligence techniques in refrigeration system modelling and optimization: A multi-disciplinary review
title_full Artificial intelligence techniques in refrigeration system modelling and optimization: A multi-disciplinary review
title_fullStr Artificial intelligence techniques in refrigeration system modelling and optimization: A multi-disciplinary review
title_full_unstemmed Artificial intelligence techniques in refrigeration system modelling and optimization: A multi-disciplinary review
title_sort artificial intelligence techniques in refrigeration system modelling and optimization: a multi-disciplinary review
publisher Elsevier
publishDate 2021
url http://scholars.utp.edu.my/id/eprint/34601/
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score 13.211869