| 1 |
Directional wind energy assessment of China based on nonparametric copula models
Han QK, Chu FL
Renewable Energy, 164, 1334, 2021 |
| 2 |
A new wind speed scenario generation method based on spatiotemporal dependency structure
Deng JC, Li HR, Hu JX, Liu ZY
Renewable Energy, 163, 1951, 2021 |
| 3 |
Process monitoring method based on correlation variable classification and vine copula
Cui Q, Li SJ
Canadian Journal of Chemical Engineering, 98(6), 1411, 2020 |
| 4 |
Process Safety Assessment Considering Multivariate Non-linear Dependence Among Process Variables
Ghosh A, Ahmed S, Khan F, Rusli R
Process Safety and Environmental Protection, 135, 70, 2020 |
| 5 |
Long-term assessment of a floating offshore wind turbine under environmental conditions with multivariate dependence structures
Li X, Zhang W
Renewable Energy, 147, 764, 2020 |
| 6 |
Probabilistic power flow analysis with correlated wind speeds
Zhou SW, Xiao Q, Wu LH
Renewable Energy, 145, 2169, 2020 |
| 7 |
Long-term fatigue damage assessment for a floating offshore wind turbine under realistic environmental conditions
Li X, Zhang W
Renewable Energy, 159, 570, 2020 |
| 8 |
Wind direction fluctuation analysis for wind turbines
Guo P, Chen S, Chu JC, Infield D
Renewable Energy, 162, 1026, 2020 |
| 9 |
A novel environmental contour method for predicting long-term extreme wave conditions
Wang YG
Renewable Energy, 162, 926, 2020 |
| 10 |
Fault detection of wind turbines via multivariate process monitoring based on vine copulas
Xu QF, Fan ZH, Jia WY, Jiang CX
Renewable Energy, 161, 939, 2020 |
