44 citations as recorded by crossref.

1. Modeling and experimentally-driven sensitivity analysis of wake-induced power loss in offshore wind farms: Insights from Block Island Wind Farm S. Shid-Moosavi et al.
2. The revised FLORIDyn model: implementation of heterogeneous flow and the Gaussian wake M. Becker et al.
3. Experimental Study on the Influence of Incoming Flow on Wind Turbine Power and Wake Based on Wavelet Analysis H. Niu et al.
4. Analytical model for the power production of a yaw-misaligned wind turbine J. Lu et al.
5. Virtual fatigue diagnostics of wake-affected wind turbine via Gaussian Process Regression L. Avendaño-Valencia et al.
6. Evaluating the combined effect of yaw misalignment and wind farm column misalignment on wake losses in finite wind farm arrays using large eddy simulations U. Tiwari et al.
7. Modelling the induction, thrust and power of a yaw-misaligned actuator disk K. Heck et al.
8. LES verification of HAWC2Farm aeroelastic wind farm simulations with wake steering and load analysis J. Liew et al.
9. Optimal closed-loop wake steering – Part 1: Conventionally neutral atmospheric boundary layer conditions M. Howland et al.
10. Large-eddy simulation on the similarity between wakes of wind turbines with different yaw angles Z. Li & X. Yang
11. FarmConners wind farm flow control benchmark – Part 1: Blind test results T. Göçmen et al.
12. AI-Based Wind Tracking and Yaw Control System for Optimizing Wind Turbine Efficiency S. Mahmud et al.
13. Investigation of far-wake models coupled with yaw-induction control for power optimization K. Heck et al.
14. Wake redirection control for offshore wind farm power and fatigue multi-objective optimisation based on a wind turbine load indicator J. Sun et al.
15. Turbine power loss during yaw-misaligned free field tests at different atmospheric conditions P. Hulsman et al.
16. A robust active power control algorithm to maximize wind farm power tracking margins in waked conditions S. Tamaro et al.
17. A Data-Mining Compensation Approach for Yaw Misalignment on Wind Turbine Y. Bao & Q. Yang
18. Optimal closed-loop wake steering – Part 2: Diurnal cycle atmospheric boundary layer conditions M. Howland et al.
19. Wind farm analysis using SailoR diagram-based diagnostics to quantify yaw misalignment correction A. Ulazia et al.
20. On the power and control of a misaligned rotor – beyond the cosine law S. Tamaro et al.
21. Wind Resource Assessment for Potential Wind Turbine Operations in the City of Yanbu, Saudi Arabia M. Ramli & H. Bouchekara
22. Results from a wake-steering experiment at a commercial wind plant: investigating the wind speed dependence of wake-steering performance E. Simley et al.
23. Enhanced Modeling of Joint Yaw and Axial Induction Control Using Blade Element Momentum Methods J. Liew et al.
24. Modeling the effect of wind speed and direction shear on utility‐scale wind turbine power production S. Mata et al.
25. Providing power reserve for secondary grid frequency regulation of offshore wind farms through yaw control Y. Oudich et al.
26. Wind plant power maximization via extremum seeking yaw control: A wind tunnel experiment D. Kumar et al.
27. Unified momentum model for rotor aerodynamics across operating regimes J. Liew et al.
28. Wake Effect Quantification using SCADA Data and LES Modelling of an Operational Offshore Wind Farm W. Chanprasert et al.
29. Validation of induction/steering reserve-boosting active power control by a wind tunnel experiment with dynamic wind direction changes S. Tamaro et al.
30. Influence of atmospheric conditions on the power production of utility-scale wind turbines in yaw misalignment M. Howland et al.
31. A data-driven reduced-order model for rotor optimization N. Peters et al.
32. 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.
33. Layout and yaw optimisation of an offshore wind farm through analytical modelling D. Sukhman et al.
34. Aerodynamic characterization of two tandem wind turbines under yaw misalignment control using actuator line model Y. Tu et al.
35. Sensitivity and Uncertainty of the FLORIS Model Applied on the Lillgrund Wind Farm M. van Beek et al.
36. Data-driven yaw misalignment correction for utility-scale wind turbines L. Gao & J. Hong
37. Experimental wind tunnel study on the effect of cyclic yaw rate on wind turbine performance L. Wang et al.
38. Wind tunnel experiments and model predictions of the performance of a floating offshore wind turbine undergoing pitch motion K. Panthi & G. Iungo
39. Model predictive control of wakes for wind farm power tracking A. Sterle et al.
40. Wind-powered reservoir management with application to robust multi-objective optimization M. Nilsen et al.
41. Dynamic wind farm flow control using free-vortex wake models M. van den Broek et al.
42. A LiDAR-Based Active Yaw Control Strategy for Optimal Wake Steering in Paired Wind Turbines E. Mahmoodi et al.
43. Wind turbine wake control strategies: A review and concept proposal R. Nash et al.
44. Assessing Closed-Loop Data-Driven Wind Farm Control Strategies within a Wind Tunnel P. Hulsman et al.