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Challenges in Predicting Smart Grid Stability Linked with Renewable Energy Resources Through Spark MLlib Learning Cover

Challenges in Predicting Smart Grid Stability Linked with Renewable Energy Resources Through Spark MLlib Learning

Journal of Automation, Mobile Robotics and Intelligent Systems
Volume 19 (2025): Issue 4 (December 2025)
By: Amal Zouhri,  Ismail Boumhidi,  Ismail Boumhidi,  Abderahamane Ez-Zahout,  Said Chakouk and  Mostafa El Mallahi  
Open Access
|Dec 2025

Authors

Amal Zouhri

amal.zouhri@usmba.ac.ma

Sidi Mohammed Ben Abdellah University, Faculty of Sciences Dhar el mahraz, Laboratory of Electronics, Signals, Systems and Computer Science, Fez, Morocco

Ismail Boumhidi

ismail.boumhidi@usmba.ac.ma

Sidi Mohammed Ben Abdellah University, Faculty of Sciences Dhar el mahraz, Laboratory of Electronics, Signals, Systems and Computer Science, Fez, Morocco

Ismail Boumhidi

ismail.boumhidi@usmba.ac.ma

Sidi Mohammed Ben Abdellah University, Faculty of Sciences Dhar el mahraz, Laboratory of Electronics, Signals, Systems and Computer Science, Fez, Morocco

Abderahamane Ez-Zahout

a.ezzahout@um5r.ac.ma

Mohammed V University Adjunct Professor at SSE School of Science and Engineering, Al Akhawayn University, Ifrane, Morocco

Said Chakouk

s.chakouk@um5r.ac.ma

Faculty of Letters and Human Sciences, Mohammed V University in Rabat, Rabat, Morocco

Mostafa El Mallahi

mostafa.elmallahi@usmba.ac.ma

Sidi Mohammed ben Abdellah University, Ecole Normale SupĒrieure, Fez, Morocco
DOI: https://doi.org/10.14313/jamris-2025-036 | Journal eISSN: 2080-2145 | Journal ISSN: 1897-8649
Journal RSS Feed
Language: English
Page range: 70 - 81
Submitted on: Apr 28, 2023
|
Accepted on: Sep 4, 2024
|
Published on: Dec 24, 2025
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:
Smart Grid,
Stability Prediction,
Renewable Energy Resources,
Spark MLlib,
Machine Learning,
Predictive Modeling,
Grid Stability,
Energy Forecasting,
Data Analysis
Related subjects:
Computer sciences,
Artificial intelligence,
Engineering,
Electrical engineering,
Control engineering, metrology and testing,
Mechanical engineering,
Fundamentals of mechanical engineering

© 2025 Amal Zouhri, Ismail Boumhidi, Ismail Boumhidi, Abderahamane Ez-Zahout, Said Chakouk, 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.

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