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

    منشور في 2020
    "…Nonetheless, the consideration of irradiance, electrical, thermal, and weather parameters (scenario IV) yielded higher identification accuracy. The results showed a decrease in the MSE of V<sub>mp</sub> by 74.3% (from 1.6 V to 0.411 V), and in the MSE of I<sub>mp</sub> by 95% (from 4.4e−6 A to 2.16e−7 A), respectively. …"