61 citations as recorded by crossref.

1. Vertical wake deflection for floating wind turbines by differential ballast control E. Nanos et al. 10.5194/wes-7-1641-2022
2. An open-source framework for the development, deployment and testing of wind farm control strategies C. Sucameli et al. 10.1088/1742-6596/2767/9/092043
3. On the power and control of a misaligned rotor – beyond the cosine law S. Tamaro et al. 10.5194/wes-9-1547-2024
4. Optimal closed-loop wake steering – Part 2: Diurnal cycle atmospheric boundary layer conditions M. Howland et al. 10.5194/wes-7-345-2022
5. Yaw Optimisation for Wind Farm Production Maximisation Based on a Dynamic Wake Model Z. Deng et al. 10.3390/en16093932
6. Development and validation of a hybrid data-driven model-based wake steering controller and its application at a utility-scale wind plant P. Bachant et al. 10.5194/wes-9-2235-2024
7. Data-driven wind farm flow control and challenges towards field implementation: A review T. Göçmen et al. 10.1016/j.rser.2025.115605
8. Wind farm yaw control set-point optimization under model parameter uncertainty M. Howland 10.1063/5.0051071
9. Reconstruction of environmental site conditions by the integration of SCADA and reanalysis data A. Vad & C. Bottasso 10.1088/1742-6596/2767/9/092073
10. Sensitivity analysis and Bayesian calibration of a dynamic wind farm control model: FLORIDyn V. Dighe et al. 10.1088/1742-6596/2265/2/022062
11. 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
12. 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
13. Are steady-state wake models and lookup tables sufficient to design profitable wake steering strategies? A Large Eddy Simulation investigation M. Lejeune et al. 10.1088/1742-6596/2767/9/092075
14. Hyperparameter tuning framework for calibrating analytical wake models using SCADA data of an offshore wind farm D. van Binsbergen et al. 10.5194/wes-9-1507-2024
15. Digital twin of wind farms via physics-informed deep learning J. Zhang & X. Zhao 10.1016/j.enconman.2023.117507
16. Wind Tunnel Testing of Yaw by Individual Pitch Control Applied to Wake Steering F. Campagnolo et al. 10.3389/fenrg.2022.883889
17. Sensitivity and Uncertainty of the FLORIS Model Applied on the Lillgrund Wind Farm M. van Beek et al. 10.3390/en14051293
18. Validation of an interpretable data-driven wake model using lidar measurements from a field wake steering experiment B. Sengers et al. 10.5194/wes-8-747-2023
19. Experimental results of wake steering using fixed angles P. Fleming et al. 10.5194/wes-6-1521-2021
20. A dynamic open-source model to investigate wake dynamics in response to wind farm flow control strategies M. Becker et al. 10.5194/wes-10-1055-2025
21. Evaluating the potential of a wake steering co-design for wind farm layout optimization through a tailored genetic algorithm M. Baricchio et al. 10.5194/wes-9-2113-2024
22. Comparison of wind farm control strategies under realistic offshore wind conditions: turbine quantities of interest J. Frederik et al. 10.5194/wes-10-755-2025
23. Further calibration and validation of FLORIS with wind tunnel data F. Campagnolo et al. 10.1088/1742-6596/2265/2/022019
24. 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
25. Synergizing Helix Active Wake Mixing with Dynamic Yawing: An Exploration Study using Porous Discs in a Wind Tunnel J. Gutknecht et al. 10.1088/1742-6596/3016/1/012014
26. Addressing deep array effects and impacts to wake steering with the cumulative-curl wake model C. Bay et al. 10.5194/wes-8-401-2023
27. Design and Analysis of Yaw Command Tracking Control Algorithm for Wind Turbine for Wind Farm Control Application T. Jeon et al. 10.7836/kses.2021.41.3.065
28. Stochastic Dynamical Modeling of Wind Farm Turbulence A. Bhatt et al. 10.3390/en16196908
29. Method to predict the minimum measurement and experiment durations needed to achieve converged and significant results in a wind energy field experiment D. Houck et al. 10.5194/wes-9-1189-2024
30. Turbine power loss during yaw-misaligned free field tests at different atmospheric conditions P. Hulsman et al. 10.1088/1742-6596/2265/3/032074
31. FarmConners wind farm flow control benchmark – Part 1: Blind test results T. Göçmen et al. 10.5194/wes-7-1791-2022
32. The impact of coherent large-scale vortices generated by helix active wake control on the recovery process of wind turbine wakes J. Gutknecht et al. 10.1063/5.0278687
33. The wind farm as a sensor: learning and explaining orographic and plant-induced flow heterogeneities from operational data R. Braunbehrens et al. 10.5194/wes-8-691-2023
34. The value of wake steering wind farm flow control in US energy markets E. Simley et al. 10.5194/wes-9-219-2024
35. 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
36. Adaptive economic predictive control for offshore wind farm active yaw considering generation uncertainty Y. Wang et al. 10.1016/j.apenergy.2023.121849
37. Results from a wake-steering experiment at a commercial wind plant: investigating the wind speed dependence of wake-steering performance E. Simley et al. 10.5194/wes-6-1427-2021
38. Comparison of the Gaussian Wind Farm Model with Historical Data of Three Offshore Wind Farms B. Doekemeijer et al. 10.3390/en15061964
39. Field validation of a yaw misalignment observer for wind farm control M. Bertelè et al. 10.1088/1742-6596/2767/9/092013
40. Measuring wake deflection from SCADA data during wake steering using machine learning N. Post et al. 10.1088/1742-6596/2767/4/042031
41. A quantitative approach for evaluating fatigue damage under wake effects and yaw control for offshore wind turbines F. Lu et al. 10.1016/j.seta.2024.103824
42. Axial induction controller field test at Sedini wind farm E. Bossanyi & R. Ruisi 10.5194/wes-6-389-2021
43. Increased power gains from wake steering control using preview wind direction information B. Sengers et al. 10.5194/wes-8-1693-2023
44. Analytical solutions for yawed wind-turbine wakes with application to wind-farm power optimization by active yaw control Z. Zhang et al. 10.1016/j.oceaneng.2024.117691
45. Load assessment of a wind farm considering negative and positive yaw misalignment for wake steering R. Thedin et al. 10.5194/wes-10-1033-2025
46. Advancements in Wind Farm Control: Modelling and Multi-Objective Optimization Through Yaw-Based Wake Steering T. Lucas Frutuoso et al. 10.3390/en18092247
47. A Supervisory Control Framework for Fatigue-Aware Wake Steering in Wind Farms Y. Shen et al. 10.3390/en18133452
48. Investigating the impact of atmospheric conditions on wake-steering performance at a commercial wind plant E. Simley et al. 10.1088/1742-6596/2265/3/032097
49. Collective wind farm operation based on a predictive model increases utility-scale energy production M. Howland et al. 10.1038/s41560-022-01085-8
50. Dynamic wind farm flow control using free-vortex wake models M. van den Broek et al. 10.5194/wes-9-721-2024
51. Overview of preparation for the American WAKE ExperimeNt (AWAKEN) P. Moriarty et al. 10.1063/5.0141683
52. Wake Recovery Enhancement with Helix Active Wake Control: Vortex Structures in a Porous Disk Wake Observed in PIV Experiments J. Gutknecht et al. 10.1088/1742-6596/3016/1/012030
53. Large Eddy Simulation of Yawed Wind Turbine Wake Deformation H. Kim & S. Lee 10.3390/en15176125
54. Maximizing wind farm power output with the helix approach: Experimental validation and wake analysis using tomographic particle image velocimetry D. van der Hoek et al. 10.1002/we.2896
55. Combining wake redirection and derating strategies in a load-constrained wind farm power maximization A. Croce et al. 10.5194/wes-9-1211-2024
56. Wake steering of multirotor wind turbines G. Speakman et al. 10.1002/we.2633
57. Wind farm flow control: prospects and challenges J. Meyers et al. 10.5194/wes-7-2271-2022
58. 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
59. Influence of atmospheric conditions on the power production of utility-scale wind turbines in yaw misalignment M. Howland et al. 10.1063/5.0023746
60. Review of wake management techniques for wind turbines D. Houck 10.1002/we.2668
61. On the load impact of dynamic wind farm wake mixing strategies J. Frederik & J. van Wingerden 10.1016/j.renene.2022.05.110