Machine learning-based optimization and dynamic performance analysis of a hybrid geothermal-solar multi-output system for electricity, cooling, desalinated water, and hydrogen production: A case study
Mohamed A. IsmailDepartment of Chemical Engineering, College of Engineering, King Khalid University, Abha 61411, Saudi ArabiaGhanim Kadhim Abdul SadaCollege of Engineering, University of Warith Al-Anbiyaa 56001, Karbala, IraqAbdelfattah AmariDepartment of Chemical Engineering, College of Engineering, King Khalid University, Abha 61411, Saudi ArabiaA. V. UmarovAbdul Amir H. KadhumUniversity of Al-Ameed, Karbala, IraqZukhra AtamuratovaNew Uzbekistan University, Movarounnahr street 1, Tashkent 100000, UzbekistanNoureddine ElboughdiriChemical Engineering Department, College of Engineering, University of Ha’il, P.O. Box 2440, Ha’il 81441, Saudi Arabia
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