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

"…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_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. …"

Walking around the preferred speed: examination of metabolic, perceptual, spatiotemporal and stability parameters حسب Lina Majed (7485380)

"…While metabolic, perceptual and spatiotemporal values were sensitive to the smallest change in speed (i.e., 0.5 km·h⁻¹⁾, a significant increase in the rate of carbohydrate oxidation and decrease in % fat oxidation were only observed at speeds above PWS. …"