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
Titel:
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
Auteur:
Ismail, Mohamed A. Abdul Sada, Ghanim Kadhim Amari, Abdelfattah Umarov, Abdusalom Kadhum, Abdul Amir H. Atamuratova, Zukhra Elboughdiri, Noureddine