Multi-objective optimization framework for reconfigurable PV–PEM electrolyzer using machine learning surrogates
Optimization and electrical control of photovoltaic (PV) and proton exchange membrane (PEM) electrolyzer systems are critical for efficient, scalable hydrogen production. Static coupling methods employ fixed electrical interconnections between PV arrays and the PEM stack, which cannot adapt to fluctuating irradiance or temperature. To overcome this, we propose an adaptive reconfiguration optimizat
