| 1 |
Proposal of a novel GPU-accelerated lifetime optimization method for onshore wind turbine dampers under real wind distribution
Liu ZQ, Wang YZ, Nyangi P, Zhu ZW, Hua XG
Renewable Energy, 168, 516, 2021 |
| 2 |
Modelling the variability of the wind energy resource on monthly and seasonal timescales
Alonzo B, Ringkjob HK, Jourdier B, Drobinski P, Plougonven R, Tankov P
Renewable Energy, 113, 1434, 2017 |
| 3 |
A data-driven method to characterize turbulence-caused uncertainty in wind power generation
Zhang J, Jain R, Hodge BM
Energy, 112, 1139, 2016 |
| 4 |
Towards realistic designs of wind farm layouts: Application of a novel placement selector approach
Rahbari O, Vafaeipour M, Fazelpour F, Feidt M, Rosen MA
Energy Conversion and Management, 81, 242, 2014 |
| 5 |
A hybrid measure-correlate-predict method for long-term wind condition assessment
Zhang J, Chowdhury S, Messac A, Hodge BM
Energy Conversion and Management, 87, 697, 2014 |
| 6 |
A Multivariate and Multimodal Wind Distribution model
Zhang J, Chowdhury S, Messac A, Castillo L
Renewable Energy, 51, 436, 2013 |
| 7 |
Optimizing the arrangement and the selection of turbines for wind farms subject to varying wind conditions
Chowdhury S, Zhang J, Messac A, Castillo L
Renewable Energy, 52, 273, 2013 |
| 8 |
Wind distribution and capacity factor estimation for wind turbines in the coastal region of South Africa
Ayodele TR, Jimoh AA, Munda JL, Agee JT
Energy Conversion and Management, 64, 614, 2012 |
| 9 |
Statistical Evaluation of Wind Characteristics in Kutahya, Turkey
Ozgur MA, Arslan O, Kose R, Peker KO
Energy Sources Part A-recovery Utilization and Environmental Effects, 31(16), 1450, 2009 |
