| 1 |
Autonomous Model Predictive Controlled Smart Inverter With Proactive Grid Fault Ride-Through Capability
Easley M, Jain S, Shadmand M, Abu-Rub H
IEEE Transactions on Energy Conversion, 35(4), 1825, 2020 |
| 2 |
Towards less energy intensive heavy-duty machine tools: Power consumption characteristics and energy-saving strategies
Shang ZD, Gao D, Jiang ZP, Lu Y
Energy, 178, 263, 2019 |
| 3 |
Applicability of the power model to mixed slurries with non-spherical particles and networking effect
Kutukcu B, Ayranci I
Chemical Engineering Research & Design, 138, 314, 2018 |
| 4 |
How to peak carbon emissions in China's power sector: A regional perspective
Tang BJ, Li R, Yu BY, An RY, Wei YM
Energy Policy, 120, 365, 2018 |
| 5 |
Nowcasting, predictive control, and feedback control for temperature regulation in a novel hybrid solar-electric reactor for continuous solar-thermal chemical processing
Rowe SC, Hischier I, Palumbo AW, Chubukov BA, Wallace MA, Viger R, Lewandowski A, Clough DE, Weimer AW
Solar Energy, 174, 474, 2018 |
| 6 |
Measurements and empirical correlations in predicting biodiesel-diesel blends' viscosity and density
Gulum M, Bilgin A
Fuel, 199, 567, 2017 |
| 7 |
A power loss model for Archimedes screw generators
Kozyn A, Lubitz WD
Renewable Energy, 108, 260, 2017 |
| 8 |
Analysis of the upper-truncated Weibull distribution for wind speed
Kantar YM, Usta I
Energy Conversion and Management, 96, 81, 2015 |
| 9 |
Prediction of just suspended speed for mixed slurries at high solids loadings
Ayranci I, Ng T, Etchells AW, Kresta SM
Chemical Engineering Research & Design, 91(2), 227, 2013 |
| 10 |
Analysis of some flexible families of distributions for estimation of wind speed distributions
Usta I, Kantar YM
Applied Energy, 89(1), 355, 2012 |
