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
The assessment of the energy balance at Earth's surface is often complicated by uncertainties in evaluating downward longwave radiation (Rld), which is essential for estimating evapotranspiration, weather forecasting, and taking advantage of radiative cooling. Empirical models based on air temperature (Ta) and relati...
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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