Soft state-of-charge estimation for adsorption energy storage: Black-box and physics-informed approaches
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