75 citations as recorded by crossref.

1. Aerodynamic characterization of two tandem wind turbines under yaw misalignment control using actuator line model Y. Tu et al. 10.1016/j.oceaneng.2023.114992
2. On the wake deflection of vertical axis wind turbines by pitched blades M. Huang et al. 10.1002/we.2803
3. FarmConners wind farm flow control benchmark – Part 1: Blind test results T. Göçmen et al. 10.5194/wes-7-1791-2022
4. A wind tunnel investigation of yawed wind turbine wake impacts on downwind wind turbine performances and wind loads T. Uchida et al. 10.1177/0309524X221150219
5. Wind farm control ‐ Part I: A review on control system concepts and structures L. Andersson et al. 10.1049/rpg2.12160
6. Analytical three‐dimensional wind flow model for real‐time wind farm simulation V. Kipke et al. 10.1049/iet-rpg.2020.0106
7. Wind farm flow control: prospects and challenges J. Meyers et al. 10.5194/wes-7-2271-2022
8. Free-vortex models for wind turbine wakes under yaw misalignment – a validation study on far-wake effects M. van den Broek et al. 10.5194/wes-8-1909-2023
9. Towards a better understanding of yawed turbine wake for efficient wake steering in tidal arrays P. Modali et al. 10.1016/j.renene.2021.05.152
10. On the power and control of a misaligned rotor – beyond the cosine law S. Tamaro et al. 10.5194/wes-9-1547-2024
11. Effects of yaw on the wakes evolution of a wind turbine in wind tunnel L. Zhang et al. 10.1016/j.renene.2025.122816
12. Effect of low-level jet on turbine aerodynamic blade loading using large-eddy simulations S. Gadde et al. 10.1088/1742-6596/1934/1/012001
13. Active yaw control optimization of wind turbines in wind farms considering multi-scenario wind speed and direction W. Hu et al. 10.1063/5.0277527
14. Analysis of Wind Turbine Equipment Failure and Intelligent Operation and Maintenance Research H. Peng et al. 10.3390/su15108333
15. Characterizing tilt effects on wind plants R. Scott et al. 10.1063/5.0009853
16. Parametric dependencies of the yawed wind‐turbine wake development E. Kleusberg et al. 10.1002/we.2395
17. Turbine Wake Deflection Measurement in a Wind Tunnel with a Lidar WindScanner P. Hulsman et al. 10.1088/1742-6596/1452/1/012007
18. Turbine power loss during yaw-misaligned free field tests at different atmospheric conditions P. Hulsman et al. 10.1088/1742-6596/2265/3/032074
19. Temporal Up-Sampling of Planar Long-Range Doppler LiDAR Wind Speed Measurements Using Space-Time Conversion H. Beck & M. Kühn 10.3390/rs11070867
20. Characterizing porous disk wakes in different turbulent inflow conditions with higher-order statistics M. Vinnes et al. 10.1007/s00348-022-03565-9
21. A yawed wake model to predict the velocity distribution of curled wake cross-section for wind turbines Q. Yang et al. 10.1016/j.oceaneng.2024.116911
22. The Influence of Yaw Misalignment on Turbine Power Output Fluctuations and Unsteady Aerodynamic Loads within Wind Farms E. Aju et al. 10.2139/ssrn.4194363
23. Turbulence and Control of Wind Farms C. Shapiro et al. 10.1146/annurev-control-070221-114032
24. An experimental study on the effects of winglets on the tip vortex interaction in the near wake of a model wind turbine F. Mühle et al. 10.1002/we.2486
25. Review of wake management techniques for wind turbines D. Houck 10.1002/we.2668
26. Model predictive control of wakes for wind farm power tracking A. Sterle et al. 10.1088/1742-6596/2767/3/032005
27. Wind tunnel study on power output and yaw moments for two yaw-controlled model wind turbines J. Bartl et al. 10.5194/wes-3-489-2018
28. Near-wake structure of full-scale vertical-axis wind turbines N. Wei et al. 10.1017/jfm.2020.578
29. A new method for simulating multiple wind turbine wakes under yawed conditions D. Wei et al. 10.1016/j.oceaneng.2021.109832
30. Artificial Neural Network Based Reinforcement Learning for Wind Turbine Yaw Control A. Saenz-Aguirre et al. 10.3390/en12030436
31. Power output fluctuations and unsteady aerodynamic loads of a scaled wind turbine subjected to periodically oscillating wind environments E. Aju et al. 10.1063/5.0219853
32. Super-resolution reconstruction framework of wind turbine wake: Design and application M. Chen et al. 10.1016/j.oceaneng.2023.116099
33. Blind test comparison on the wake behind a yawed wind turbine F. Mühle et al. 10.5194/wes-3-883-2018
34. Tip‐vortex breakdown of wind turbines subject to shear E. Kleusberg et al. 10.1002/we.2403
35. The curled wake model: a three-dimensional and extremely fast steady-state wake solver for wind plant flows L. Martínez-Tossas et al. 10.5194/wes-6-555-2021
36. A physically interpretable data-driven surrogate model for wake steering B. Sengers et al. 10.5194/wes-7-1455-2022
37. Study on the near Wake Aerodynamic Characteristics of Floating Offshore Wind Turbine under Combined Surge and Pitch Motion S. Leng et al. 10.3390/en17030744
38. First characterization of a new perturbation system for gust generation: the chopper I. Neunaber & C. Braud 10.5194/wes-5-759-2020
39. Development of a curled wake of a yawed wind turbine under turbulent and sheared inflow P. Hulsman et al. 10.5194/wes-7-237-2022
40. A time‐varying formulation of the curled wake model within the FAST.Farm framework E. Branlard et al. 10.1002/we.2785
41. Dynamic wake conditions tailored by an active grid in the wind tunnel D. Onnen et al. 10.1088/1742-6596/2767/4/042038
42. Influence of atmospheric conditions on the power production of utility-scale wind turbines in yaw misalignment M. Howland et al. 10.1063/5.0023746
43. Asymmetries and similarities of yawed rotor wakes X. Xiong et al. 10.1063/5.0106745
44. Experimental investigation of wind turbine wake and load dynamics during yaw maneuvers S. Macrí et al. 10.5194/wes-6-585-2021
45. Trailing-Edge Noise and Amplitude Modulation Under Yaw-Induced Partial Wake: A Curl–UVLM Analysis with Atmospheric Stability Effects H. Kim et al. 10.3390/en18195205
46. Similarities in the meandering of yawed rotor wakes X. Xiong et al. 10.1063/5.0231171
47. Adjoint optimisation for wind farm flow control with a free-vortex wake model M. van den Broek et al. 10.1016/j.renene.2022.10.120
48. Reconstruction of incomplete velocity field and prediction of pressure field of propeller wake based on deep learning C. Li et al. 10.1063/5.0273777
49. The aerodynamics of the curled wake: a simplified model in view of flow control L. Martínez-Tossas et al. 10.5194/wes-4-127-2019
50. Modelling Yawed Wind Turbine Wakes: Extension of a Gaussian-Based Wake Model D. Wei et al. 10.3390/en14154494
51. Some observations on wake redirection techniques of tandem wind turbines K. Surujhlal et al. 10.1063/5.0255621
52. Quantification of wake shape modulation and deflection for tilt and yaw misaligned wind turbines J. Bossuyt et al. 10.1017/jfm.2021.237
53. Dynamic wake field reconstruction of wind turbine through Physics-Informed Neural Network and Sparse LiDAR data L. Wang et al. 10.1016/j.energy.2024.130401
54. Large-eddy simulation on the similarity between wakes of wind turbines with different yaw angles Z. Li & X. Yang 10.1017/jfm.2021.495
55. The influence of yaw misalignment on turbine power output fluctuations and unsteady aerodynamic loads within wind farms E. Aju et al. 10.1016/j.renene.2023.06.015
56. Uncertainty of toggling in wake steering experiments under diurnal cycle atmospheric conditions: an LES study E. Hodgson et al. 10.1088/1742-6596/3016/1/012026
57. A novel 2D analytical model for predicting single and multiple‐interacting wakes of horizontal‐axis wind turbines P. Asad Ayoubi et al. 10.1002/ep.13980
58. Residual-connected physics-informed neural network for anti-noise wind field reconstruction R. Tian et al. 10.1016/j.apenergy.2023.122439
59. Quantitative assessment on fatigue damage induced by wake effect and yaw misalignment for floating offshore wind turbines T. Tao et al. 10.1016/j.oceaneng.2023.116004
60. A new analytical model for wind turbine wakes based on Monin-Obukhov similarity theory Y. Cheng et al. 10.1016/j.apenergy.2019.01.225
61. Brief communication: A double-Gaussian wake model J. Schreiber et al. 10.5194/wes-5-237-2020
62. Time-domain fatigue damage assessment for wind turbine tower bolts under yaw optimization control at offshore wind farm T. Tao et al. 10.1016/j.oceaneng.2024.117706
63. Experimental study on the characteristics of wind turbine wake field considering yaw conditions X. Zhao et al. 10.1002/ese3.987
64. Wind farm power optimization via yaw angle control: A wind tunnel study M. Bastankhah & F. Porté-Agel 10.1063/1.5077038
65. Large Eddy Simulation of Yawed Wind Turbine Wake Deformation H. Kim & S. Lee 10.3390/en15176125
66. Artificial intelligence-aided wind plant optimization for nationwide evaluation of land use and economic benefits of wake steering D. Harrison-Atlas et al. 10.1038/s41560-024-01516-8
67. Three-dimensional yaw wake model development with validations from wind tunnel experiments R. He et al. 10.1016/j.energy.2023.128402
68. Super-resolution reconstruction of propeller wake based on deep learning C. Li et al. 10.1063/5.0239986
69. Overview of preparation for the American WAKE ExperimeNt (AWAKEN) P. Moriarty et al. 10.1063/5.0141683
70. Optimizing wind farm control through wake steering using surrogate models based on high-fidelity simulations P. Hulsman et al. 10.5194/wes-5-309-2020
71. Wind turbine wake influence on the mixing of relative humidity quantified through wind tunnel experiments M. Obligado et al. 10.1063/5.0039090
72. A vortex sheet based analytical model of the curled wake behind yawed wind turbines M. Bastankhah et al. 10.1017/jfm.2021.1010
73. Curled-Skewed Wakes behind Yawed Wind Turbines Subject to Veered Inflow M. Mohammadi et al. 10.3390/en15239135
74. An experimental investigation of the effects of a boundary layer inflow on the wake characteristics of a model wind turbine and a porous disk B. Öztürk et al. 10.1063/5.0249345
75. Wind tunnel experiments on wind turbine wakes in yaw: redefining the wake width J. Schottler et al. 10.5194/wes-3-257-2018