Comparative Study of Fuzzy Logic and Neural Network Control for Battery Power Management in Smart Microgrids

Research Unit of Processes, Energy, Environment and Electrical Systems (Code: LR18ES34), National Engineering School of Gabès, University of Gabes, Gabes, Tunisia

Abdelmalek Gacem

LGEERE Laboratory Department of Electrical Engineering, University of El-Oued, El-Oued, Algeria

Ali Mansouri

Technology Energy and Innovative Materials Research Laboratory, Faculty of Sciences of Gafsa, University of Gafsa, Gafsa, Tunisia

Higher School of Applied Sciences and Technology of Gafsa, Department of Industrial Systems, University of Gafsa, Gafsa, Tunisia

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DOI: https://doi.org/10.2478/pead-2026-0023 | Journal eISSN: 2543-4292 | Journal ISSN: 2451-0262

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Language: English

Page range: 347 - 368

Submitted on: Mar 31, 2026

Accepted on: Jul 13, 2026

Published on: Jul 30, 2026

Published by: Wroclaw University of Science and Technology

In partnership with: Paradigm Publishing Services

Keywords:

battery management system,

renewable energy,

smart microgrid,

fuzzy logic,

artificial neural network

Related subjects:

Computer sciences,

Artificial intelligence,

Engineering,

Electrical engineering,

Electronics

© 2026 Mabrouka Romdhane, Mohamed Naoui, Abdelmalek Gacem, Ali Mansouri, published by Wroclaw University of Science and Technology
This work is licensed under the Creative Commons Attribution 4.0 License.

Volume 11 (2026): Issue 1 (January 2026)