| 1 |
Numerical study on effects of hydrogen direct injection on hydrogen mixture distribution, combustion and emissions of a gasoline/hydrogen SI engine under lean burn condition
Yu XM, Li GT, Dong W, Shang Z, Guo ZZ, Li YN, Li DC, Zhao Z
International Journal of Hydrogen Energy, 45(3), 2341, 2020 |
| 2 |
Robust optimization of a pharmaceutical freeze-drying process under non-Gaussian parameter uncertainties
Xie XZ, Schenkendorf R
Chemical Engineering Science, 207, 805, 2019 |
| 3 |
A correction to the unimodal and bimodal truncated normal distributions for a more accurate representation of extreme and calm wind speeds
Mazzeo D, Oliveti G, Marsico A
International Journal of Energy Research, 43(14), 7908, 2019 |
| 4 |
A spatiotemporal Markov-chain mixture distribution model of the clear-sky index
Munkhammar J, Widen J
Solar Energy, 179, 398, 2019 |
| 5 |
Probabilistic forecasting of high-resolution clear-sky index time-series using a Markov-chain mixture distribution model
Munkhammar J, van der Meer D, Widen J
Solar Energy, 184, 688, 2019 |
| 6 |
Copula-based estimation of directional wind energy yield: A case study from Germany
Schindler D, Jung C
Energy Conversion and Management, 169, 359, 2018 |
| 7 |
On the mixture of wind speed distribution in a Nordic region
Ouarda TBMJ, Charron C
Energy Conversion and Management, 174, 33, 2018 |
| 8 |
Robust probabilistic principal component analysis based process modeling: Dealing with simultaneous contamination of both input and output data
Sadeghian A, Wu O, Huang B
Journal of Process Control, 67, 94, 2018 |
| 9 |
Estimation of wind speed probability density function using a mixture of two truncated normal distributions
Mazzeo D, Oliveti G, Labonia E
Renewable Energy, 115, 1260, 2018 |
| 10 |
An N-state Markov-chain mixture distribution model of the clear-sky index
Munkhammar J, Widen J
Solar Energy, 173, 487, 2018 |
