Design and analysis of PV fed high-voltage gain DC-DC converter using PI and NN controllers by Madisa V.G., Varaprasad

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Optimal Energy Dispatch Engine for PV-DG-ESS Hybrid Power Plants Considering Battery Degradation and Carbon Emissions by Laith Kanaan (21632714)

“…The test results revealed a 9.2% and 3.5% decrease in daily costs compared to the heuristic and stochastic methods, respectively, and a 29.4% decrease in carbon emission costs.…”

Football-induced fatigue in hypoxia impairs repeated sprint ability and perceptual-cognitive skills by Samuel A. Pullinger (8154627)

“…RS were affected by football-induced fatigue for DC (4.8%;ES=0.68) and AV (5.5%;ES=0.79). In hypoxia, a 6.5% was found for DC, 6.3% for AV and 3.1% for PV at 1500-m compared to 0-m (P<0.05). …”

A Comprehensive Assessment of an Autonomous Electric Vehicle Fast Charging Station with Multiple Renewables and Energy Storage Systems by Abdulla M. Al Wahedi (20433668)

Solar Technology and District Cooling System in a Hot Climate Regions: Optimal Configuration and Technology Selection by Rabah Ismaen (18387189)

“…</p><p> </p></div><h2>Other Information</h2> <p> Published in: Energies<br> License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/en15072657" target="_blank">https://dx.doi.org/10.3390/en15072657</a></p>…”

A robust experimental-based artificial neural network approach for photovoltaic maximum power point identification considering electrical, thermal and meteorological impact by 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. …”

Simulation of microscale particle interactions for optimization of an electrodynamic dust shield to clean desert dust from solar panels by Jennifer K.W. Chesnutt (18891895)

“…Accordingly, the objective of this research was to determine the effects of EDS parameters on the optimal cleaning efficiency of PV panels soiled by desert dust. A discrete element method was used to computationally simulate the transport, collision, and adhesion of charged particles, representative of dust in Doha, Qatar, subject to two-phase waves on an inclined EDS. …”