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Improving the Performance of Hybrid System-Based Renewable Energy by Artificial Intelligence Cover

Improving the Performance of Hybrid System-Based Renewable Energy by Artificial Intelligence

Open Access
|Aug 2024

Authors

Abdelhak Kechida

abdelhak.kechida@univ-djelfa.dz

Applied Automation and Industrial Diagnostics Laboratory (LAADI), Faculty of Sciences and Technology, Ziane Achour University of Djelfa, Algeria

Djamal Gozim

Department of Electrical Engineering, Ziane Achour University of Djelfa, Algeria

Belgacem Toual

Renewable Energy Systems Applications Laboratory (LASER), Ziane Achour University of Djelfa, Algeria
DOI: https://doi.org/10.2478/pead-2024-0025 | Journal eISSN: 2543-4292 | Journal ISSN: 2451-0262
Language: English
Page range: 397 - 411
Submitted on: Apr 6, 2024
Accepted on: Jun 13, 2024
Published on: Aug 1, 2024
Published by: Wroclaw University of Science and Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2024 Abdelhak Kechida, Djamal Gozim, Belgacem Toual, published by Wroclaw University of Science and Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.