| Field measurements of wind turbine wakes with lidars GV Iungo, YT Wu, F Porté-Agel Journal of Atmospheric and Oceanic Technology 30 (2), 274-287, 2013 | 207 | 2013 |
| Linear stability analysis of wind turbine wakes performed on wind tunnel measurements GV Iungo, F Viola, S Camarri, F Porté-Agel, F Gallaire Journal of Fluid Mechanics 737, 499-526, 2013 | 143 | 2013 |
| Volumetric lidar scanning of wind turbine wakes under convective and neutral atmospheric stability regimes GV Iungo, F Porté-Agel Journal of Atmospheric and Oceanic Technology 31 (10), 2035-2048, 2014 | 131 | 2014 |
| Prediction of the hub vortex instability in a wind turbine wake: stability analysis with eddy-viscosity models calibrated on wind tunnel data F Viola, GV Iungo, S Camarri, F Porté-Agel, F Gallaire Journal of Fluid Mechanics 750, R1, 2014 | 122 | 2014 |
| Data-driven Reduced Order Model for prediction of wind turbine wakes GV Iungo, C Santoni-Ortiz, M Abkar, F Porté-Agel, MA Rotea, S Leonardi Journal of Physics: Conference Series 625 (1), 12009-12018, 2015 | 99 | 2015 |
| Quantification of power losses due to wind turbine wake interactions through SCADA, meteorological and wind LiDAR data S El‐Asha, L Zhan, GV Iungo Wind Energy 20 (11), 1823-1839, 2017 | 94 | 2017 |
| 3D turbulence measurements using three synchronous wind lidars: Validation against sonic anemometry FC Fuertes, GV Iungo, F Porté-Agel Journal of Atmospheric and Oceanic Technology 31 (7), 1549-1556, 2014 | 89 | 2014 |
| Experimental characterization of wind turbine wakes: Wind tunnel tests and wind LiDAR measurements GV Iungo Journal of Wind Engineering and Industrial Aerodynamics 149, 35-39, 2016 | 80 | 2016 |
| LiDAR measurements for an onshore wind farm: Wake variability for different incoming wind speeds and atmospheric stability regimes L Zhan, S Letizia, GV Iungo Wind Energy, 2019 | 75 | 2019 |
| Experimental investigation on the aerodynamic loads and wake flow features of low aspect-ratio triangular prisms at different wind directions GV Iungo, G Buresti Journal of Fluids and Structures 25 (7), 1119-1135, 2009 | 75 | 2009 |
| Assessing state-of-the-art capabilities for probing the atmospheric boundary layer: the XPIA field campaign JK Lundquist, JM Wilczak, R Ashton, L Bianco, WA Brewer, A Choukulkar, ... Bulletin of the American Meteorological Society 98 (2), 289-314, 2017 | 70 | 2017 |
| Towards reduced order modelling for predicting the dynamics of coherent vorticity structures within wind turbine wakes M Debnath, C Santoni, S Leonardi, GV Iungo Phil. Trans. R. Soc. A 375 (2091), 20160108, 2017 | 65 | 2017 |
| Performance optimization of a wind turbine column for different incoming wind turbulence V Santhanagopalan, MA Rotea, GV Iungo Renewable Energy 116, 232-243, 2018 | 53 | 2018 |
| Correction of wandering smoothing effects on static measurements of a wing-tip vortex GV Iungo, P Skinner, G Buresti Experiments in fluids 46, 435-452, 2009 | 48 | 2009 |
| Evaluation of single and multiple Doppler lidar techniques to measure complex flow during the XPIA field campaign A Choukulkar, WA Brewer, SP Sandberg, A Weickmann, TA Bonin, ... Atmospheric Measurement Techniques 10 (1), 2017 | 47 | 2017 |
| Experimental investigation on the aerodynamic loads and wake flow features of a low aspect-ratio circular cylinder GV Iungo, LM Pii, G Buresti Journal of Fluids and Structures 28, 279-291, 2012 | 47 | 2012 |
| Identification of tower-wake distortions using sonic anemometer and lidar measurements K McCaffrey, PT Quelet, A Choukulkar, JM Wilczak, DE Wolfe, SP Oncley, ... Atmospheric Measurement Techniques 10 (2), 393-407, 2017 | 43 | 2017 |
| Optimal tuning of engineering wake models through lidar measurements L Zhan, S Letizia, GV Iungo Wind Energy Science 5 (4), 1601-1622, 2020 | 38 | 2020 |
| Parametric study of urban-like topographic statistical moments relevant to a priori modelling of bulk aerodynamic parameters X Zhu, GV Iungo, S Leonardi, W Anderson Boundary-Layer Meteorology 162 (2), 231-253, 2017 | 36 | 2017 |
| Data-driven wind turbine wake modeling via probabilistic machine learning S Ashwin Renganathan, R Maulik, S Letizia, GV Iungo Neural Computing and Applications, 1-16, 2022 | 33 | 2022 |
Fernando Porté-AgelProfessor, EPFL, Switzerland在 epfl.ch 的电子邮件经过验证
