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Data-Driven Models for Predicting Solar Radiation in Semi-Arid Regions

Mehdi Jamei1, Nadjem Bailek2,*, Kada Bouchouicha3, Muhammed A. Hassan4, Ahmed Elbeltagi5, Alban Kuriqi6, Nadhir Al-Ansar7, Javier Almorox8, El-Sayed M. El-kenawy9,10

1 Engineering Faculty, Shohadaye Hoveizeh Campus of Technology, Shahid Chamran University of Ahvaz, Dashte Azadegan, Iran
2 Energies and Materials Research Laboratory, Department of Matter Sciences, Faculty of Sciences and Technology, University of Tamanghasset, Tamanghasset, Algeria
3 Unité de Recherche en Energies Renouvelables en Milieu Saharien (URERMS),Centre de Développement des Energies Renouvelables (CDER), 01000, Adrar, Algeria
4 Mechanical Power Engineering Department, Faculty of Engineering, Cairo University, Giza, 12613, Giza, Egypt
5 Agricultural Engineering Department, Faculty of Agriculture, Mansoura University, Mansoura, 35516, Egypt
6 CERIS, Instituto Superior Técnico,Universidade de Lisboa, Lisbon, Portugal
7 Department of Civil, Environmental and Natural Resources Engineering, Lulea University of Technology, 97187, Lulea, Sweden
8 Universidad Politécnica de Madrid,UPM, Avd., Puerta de Hierro, 28040, Madrid, Spain
9 Department of Communications and Electronics, Delta Higher Institute of Engineering and Technology, Mansoura, 35111, Egypt
10 Faculty of Artificial Intelligence, Delta University for Science and Technology, Mansoura, 35712, Egypt

* Corresponding Author: Nadjem Bailek. Email: email

TSP_CMC_31406.pdf

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