A robust experimental-based artificial neural network approach for photovoltaic maximum power point identification considering electrical, thermal and meteorological impact حسب Samer Gowid (15955152)

"…The results showed a decrease in the MSE of V_mp by 74.3% (from 1.6 V to 0.411 V), and in the MSE of I_mp by 95% (from 4.4e−6 A to 2.16e−7 A), respectively. …"