45 citations as recorded by crossref.

1. Set-point optimization in wind farms to mitigate effects of flow blockage induced by atmospheric gravity waves L. Lanzilao & J. Meyers 10.5194/wes-6-247-2021
2. Load reduction for wind turbines: an output-constrained, subspace predictive repetitive control approach Y. Liu et al. 10.5194/wes-7-523-2022
3. 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
4. Design and testing of a model-scale yaw mechanism for an experimental wind turbine model F. Mühle et al. 10.1088/1742-6596/2265/2/022094
5. A wind tunnel study on cyclic yaw control: Power performance and wake characteristics G. Duan et al. 10.1016/j.enconman.2023.117445
6. Exploring the application of reinforcement learning to wind farm control H. Korb et al. 10.1088/1742-6596/1934/1/012022
7. Evaluation of different power tracking operating strategies considering turbine loading and power dynamics F. Pöschke & H. Schulte 10.5194/wes-7-1593-2022
8. Wake meandering of wind turbines under dynamic yaw control and impacts on power and fatigue M. Lin & F. Porté-Agel 10.1016/j.renene.2024.120003
9. Identification of airfoil polars from uncertain experimental measurements C. Wang et al. 10.5194/wes-5-1537-2020
10. Review of wake management techniques for wind turbines D. Houck 10.1002/we.2668
11. Effectiveness of dynamic induction control strategies on the wake of a wind turbine M. Montenegro Montero et al. 10.1088/1742-6596/2265/2/022054
12. Wind tunnel testing of wake steering with dynamic wind direction changes F. Campagnolo et al. 10.5194/wes-5-1273-2020
13. Accelerated Wind-Turbine Wake Recovery Through Actuation of the Tip-Vortex Instability K. Brown et al. 10.2514/1.J060772
14. Turbulence and Control of Wind Farms C. Shapiro et al. 10.1146/annurev-control-070221-114032
15. On the Potential of Reduced Order Models for Wind Farm Control: A Koopman Dynamic Mode Decomposition Approach N. Cassamo & J. van Wingerden 10.3390/en13246513
16. A review of physical and numerical modeling techniques for horizontal-axis wind turbine wakes M. Amiri et al. 10.1016/j.rser.2024.114279
17. Wind farm power maximization based on analytical sensitivity model considering wake effect C. Xu et al. 10.1016/j.epsr.2023.109734
18. How realistic are the wakes of scaled wind turbine models? C. Wang et al. 10.5194/wes-6-961-2021
19. On the scaling of wind turbine rotors H. Canet et al. 10.5194/wes-6-601-2021
20. On the load impact of dynamic wind farm wake mixing strategies J. Frederik & J. van Wingerden 10.1016/j.renene.2022.05.110
21. Vertical wake deflection for floating wind turbines by differential ballast control E. Nanos et al. 10.5194/wes-7-1641-2022
22. Enhancing Wind Farm Performance through Axial Induction and Tilt Control: Insights from Wind Tunnel Experiments G. Armengol Barcos & F. Porté-Agel 10.3390/en17010203
23. Physics-informed data-driven reduced-order models for Dynamic Induction Control C. Muscari et al. 10.1016/j.ifacol.2023.10.1036
24. Prediction and Mitigation of Wind Farm Blockage Losses Considering Mesoscale Atmospheric Response L. Legris et al. 10.3390/en16010386
25. The helix approach: Using dynamic individual pitch control to enhance wake mixing in wind farms J. Frederik et al. 10.1002/we.2513
26. Fluid-Dynamic Mechanisms Underlying Wind Turbine Wake Control with Strouhal-Timed Actuation L. Cheung et al. 10.3390/en17040865
27. Mechanisms of dynamic near-wake modulation of a utility-scale wind turbine A. Abraham et al. 10.1017/jfm.2021.737
28. Real‐time rotor effective wind speed estimation based on actuator disc theory: Design and full‐scale experimental validation A. Lio et al. 10.1002/we.2858
29. Physics informed DMD for periodic Dynamic Induction Control of Wind Farms C. Muscari et al. 10.1088/1742-6596/2265/2/022057
30. A CFD‐based analysis of dynamic induction techniques for wind farm control applications A. Croce et al. 10.1002/we.2801
31. Sensitivity and Uncertainty of the FLORIS Model Applied on the Lillgrund Wind Farm M. van Beek et al. 10.3390/en14051293
32. Wind turbine drivetrains: state-of-the-art technologies and future development trends A. Nejad et al. 10.5194/wes-7-387-2022
33. Experimental analysis of the effect of dynamic induction control on a wind turbine wake D. van der Hoek et al. 10.5194/wes-7-1305-2022
34. Expert Elicitation on Wind Farm Control J. van Wingerden et al. 10.1088/1742-6596/1618/2/022025
35. Performance assessment of wake mitigation strategies M. Coquelet et al. 10.1088/1742-6596/2265/3/032078
36. Optimal Control for Wind Turbine Wake Mixing on Floating Platforms M. Broek et al. 10.1016/j.ifacol.2023.10.1165
37. Optimal closed-loop wake steering – Part 1: Conventionally neutral atmospheric boundary layer conditions M. Howland et al. 10.5194/wes-5-1315-2020
38. Wind farm flow control oriented to electricity markets and grid integration: Initial perspective analysis I. Eguinoa et al. 10.1002/adc2.80
39. On the Load Impact of Dynamic Wind Farm Wake Mixing Strategies J. Frederik & J. van Wingerden 10.2139/ssrn.3910237
40. Design, steady performance and wake characterization of a scaled wind turbine with pitch, torque and yaw actuation E. Nanos et al. 10.5194/wes-7-1263-2022
41. Evaluation of the impact of active wake control techniques on ultimate loads for a 10 MW wind turbine A. Croce et al. 10.5194/wes-7-1-2022
42. The dynamic coupling between the pulse wake mixing strategy and floating wind turbines D. van den Berg et al. 10.5194/wes-8-849-2023
43. Wind farm flow control: prospects and challenges J. Meyers et al. 10.5194/wes-7-2271-2022
44. Surrogate Models for Wind Turbine Electrical Power and Fatigue Loads in Wind Farm G. Gasparis et al. 10.3390/en13236360
45. 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