This paper presents a health-aware adaptive equivalent consumption minimisation strategy (HA-A-ECMS) for asymmetric fuel cell hybrid vehicles (FCHEVs). To reduce internal membrane degradation, the algorithm incorporates a quadratic penalty term into the cost function in order to actively limit high-frequency power tran...
M. Essoufi, M. Benzaouia, B. Hajji et al.· EPJ Web of Conferences· 0 citations
This study proposes a LightGBM-based surrogate model for fast performance prediction and multi-objective optimization of an anion exchange membrane (AEM) water electrolyzer. A dataset of 5000 samples was generated from an electrochemical simulation model by varying key operating and electrochemical parameters, includ...
C. Denden, B. Hajji, A. Rabhi et al.· EPJ Web of Conferences· 0 citations
This study proposes a machine learning-based approach for the detection and classification of single and mixed faults in a photovoltaic system based on representative electrical parameters. Six classification algorithms were compared in order to identify the most effective model. In order to reduce the impact of class...
Rajae El-Amri, B. Hajji, Hanae Azzaoui et al.· EPJ Web of Conferences· 0 citations
This present work introduces an advanced energy management approach for a photovoltaic-battery system supplying a DC load under varying irradiation, temperature, load, and battery charge level conditions. The suggested approach integrates an integral quasi sliding control whose parameters are tuned using the Bald Eag...
Chaymae Abdellaoui, O. Pagès, Mohamed Hajji et al.· EPJ Web of Conferences· 0 citations
This work introduces an experimental comparison of four Maximum Power Point Tracking (MPPT) algorithms for photovoltaic (PV) systems: Incremental Conductance (INC), Perturb and Observe (P&O), Artificial Neural Network (ANN) and Fuzzy Logic Controller (FLC).The study assesses each method based on its response time, trac...
L. Bouselham, A. Rabhi, B. Hajji et al.· EPJ Web of Conferences· 0 citations
An ANN was developed and trained to predict Rld under clear and cloudy conditions, using Ta, RH, global horizontal irradiance (GHI), direct normal irradiance (DNI), direct normal irradiance (DNI) and fractional cloud cover (CFC) as input variables, and achieved good accuracy.
Giovanni Arcidiacono, S. Aneli, G. Marco Tina et al.· EPJ Web of Conferences· 0 citations
This paper presents a robust control strategy for grid-connected photovoltaic (PV) systems, combining the Super-Twisting Algorithm (STA) and Integral Sliding Mode Control (ISMC) to enhance performance. The proposed ap-proach addresses both Maximum Power Point Tracking (MPPT) and Voltage Source Inverter (VSI) control. A...
M. Benzaouia, Ahmed Bentaleb, A. M. Mabwe et al.· EPJ Web of Conferences· 0 citations
While AI and remote sensing show strong potential for improving water use efficiency and supporting climate-resilient agriculture, challenges remain, including data limitations, model transferability, and barriers to adoption.
Karima Millad, B. Hajji· EPJ Web of Conferences· 0 citations
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