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New Model of Photovoltaic System Adapted By a Digital Mppt Control and Radiation Predictions Using Deep Learning in Morocco Agricultural Sector Cover

New Model of Photovoltaic System Adapted By a Digital Mppt Control and Radiation Predictions Using Deep Learning in Morocco Agricultural Sector

Journal of Automation, Mobile Robotics and Intelligent Systems
Volume 17 (2023): Issue 2 (June 2023)
By:  and    
Open Access
|Jan 2024
Authors

Authors

Amal Zouhri

amal.zouhri@usmba.ac.ma

Sidi Mohamed Ben Abdellah University, Faculty of Sciences, Department of Physics, Fez, Morocco

Mostafa El Mallahi

elmallahi@usmba.ac.ma

Sidi Mohamed Ben Abdellah University, High Normal School, Fez, Morocco
DOI: https://doi.org/10.14313/jamris/2-2023/17 | Journal eISSN: 2080-2145 | Journal ISSN: 1897-8649
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Language: English
Page range: 74 - 84
Submitted on: May 12, 2022
Accepted on: Apr 26, 2023
Published on: Jan 26, 2024
Published by: Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Morocco sustainable development,
Solar pumping,
Deep Learning,
Renewable energies,
Solar radiation
Related subjects:
Computer sciences,
Artificial intelligence,
Engineering,
Electrical engineering,
Control engineering, metrology and testing,
Mechanical engineering,
Fundamentals of mechanical engineering

© 2024 Amal Zouhri, Mostafa El Mallahi, published by Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 17 (2023): Issue 2 (June 2023)
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