Machine learning-optimized geothermal multi-generation with DFOFC/ERC/RO/DHU for cooling/heating from low-to-medium temperature heat sources
Yonghui LiSchool of Management, Zhaotong University, Zhaotong, Yunnan 657000,ChinaAli BasemAdvanced Technical College, University of Warith Al-Anbiyaa, Karbala, IraqHyder H. Abed BallaAeronautical Technical department, Najaf Technical Institute, Al Furat Al Awsat Technical University, Najaf, Kufa, IraqOmar J. AlkhatibArchitectural Engineering Department, United Arab Emirates University, Al Ain, United Arab EmiratesMohamed Arbi KhlifiDepartment of Electrical Engineering, Faculty of Engineering, Islamic University of Madinah, Madinah 42351, Saudi ArabiaСамариддин МахмудовDepartment of Economics, Mamun University, Khiva 220900, UzbekistanAmira K. HajriDepartment of Chemistry, Alwajh College, University of Tabuk, Tabuk 71421, Saudi ArabiaInes Hilali JaghdamDepartment of Computer Science and Information Technology, Applied College, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi ArabiaYasmin KhairyPhysics department, College of Science, King Khalid University, AlQura’a, Abha, P.O. Box 960, Saudi ArabiaIbrahim MahariqDepartment of Electrical and Electronic Engineering, Faculty of Engineering and Architecture, Istanbul Gelisim University, Avcılar- Istanbul, 34310, Istanbul, Türkiy
ABI
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