Data driven insights for parabolic trough solar collectors: Artificial intelligence-based energy and exergy performance analysis

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Data driven insights for parabolic trough solar collectors: Artificial intelligence-based energy and exergy performance analysis

Artificial intelligence (AI) algorithms can potentially contribute to optimizing energy and exergy outputs in renewable resources to increase efficiencies and reduce environmental risk. This study utilized tree-based, linear, and non-linear regression techniques to predict the energy and exergy effi...

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Bibliographic Details
Published in:	JOURNAL OF CLEANER PRODUCTION
Main Authors:	Tao, Hai; Alawi, Omer A.; Homod, Raad Z.; Mohammed, Mustafa KA.; Goliatt, Leonardo; Togun, Hussein; Shafik, Shafik S.; Heddam, Salim; Yaseen, Zaher Mundher
Format:	Article
Language:	English
Published:	ELSEVIER SCI LTD 2024
Subjects:	Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology
Online Access:	https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001184903100001

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