The proposed PINN introduces a specialized physical loss coupling thermochemical energy balances with adsorption kinetics, driven by instantaneous edge inputs for direct SOC tracking, and demonstrates higher predictive accuracy than the conventional NN across all key outputs, relative to a high-fidelity white-box dynam...
Mustapha Habib, V. Palomba, M. Gado et al.· Energy and Buildings· 0 citations
Experimental results on real-world energy consumption datasets demonstrate that the proposed FL framework achieves competitive forecasting accuracy while preserving client data privacy, and a rigorous comparative analysis reveals that FedProx and FedTrimmedAvg consistently outperform FedAvg under non-IID conditions.
A. Tibermacine, Ilyes Naidji, Imad Eddine Tibermacine et al.· Frontiers in Energy Research· 1 citation
State estimation for nonlinear dynamical systems remains a fundamental challenge, particularly when measurements are sparse and internal states are inaccessible. This work presents a KOOPMAN-based Linear State Observer (KOOPMAN-LSO) design framework that enables linear observer synthesis for nonlinear systems through K...
Mustapha Habib, Dario Aguiar, Esther Kieseritzky et al.· 0 citations
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