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Hybrid Ensemble-Learning Approach for Renewable Energy Resources Evaluation in Algeria

El-Sayed M. El-Kenawy1,2, Abdelhameed Ibrahim3, Nadjem Bailek4,*, Kada Bouchouicha5, Muhammed A. Hassan6, Basharat Jamil7, Nadhir Al-Ansari8

1 Department of Communications and Electronics, Delta Higher Institute of Engineering and Technology, Mansoura, Egypt
2 Faculty of Artificial Intelligence, Delta University for Science and Technology, Mansoura 35712, Egypt
3 Computer Engineering and Control Systems Department, Faculty of Engineering, Mansoura University, Mansoura, Egypt
4 Energies and Materials Research Laboratory, Faculty of Sciences and Technology, University of Tamanghasset, 10034, Tamanghasset, Algeria
5 URERMS, Centre de Développement des Energies Renouvelables (CDER), 01000, Adrar, Algeria
6 Mechanical Power Engineering Department, Faculty of Engineering, Cairo University, Giza, 12613, Giza, Egypt
7 Department Computer Sciences, Universidad Rey Juan Carlos, Móstoles, 28933, Madrid, Spain
8 Department of Civil, Environmental and Natural Resources Engineering, Lulea University of Technology, 97187, Lulea, Sweden

* Corresponding Author: Nadjem Bailek. Email: email

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