103 citations as recorded by crossref.

1. Local turbulence parameterization improves the Jensen wake model and its implementation for power optimization of an operating wind farm T. Duc et al. 10.5194/wes-4-287-2019
2. Blade planform design optimization to enhance turbine wake control J. Allen et al. 10.1002/we.2699
3. Evaluation of the potential for wake steering for U.S. land-based wind power plants D. Bensason et al. 10.1063/5.0039325
4. Large eddy simulations of curled wakes from tilted wind turbines H. Johlas et al. 10.1016/j.renene.2022.02.018
5. Real-time relocation of floating offshore wind turbine platforms for wind farm efficiency maximization: An assessment of feasibility and steady-state potential A. Kheirabadi & R. Nagamune 10.1016/j.oceaneng.2020.107445
6. Adjoint-based model predictive control for optimal energy extraction in waked wind farms M. Vali et al. 10.1016/j.conengprac.2018.11.005
7. Periodic dynamic induction control of wind farms: proving the potential in simulations and wind tunnel experiments J. Frederik et al. 10.5194/wes-5-245-2020
8. A quantitative review of wind farm control with the objective of wind farm power maximization A. Kheirabadi & R. Nagamune 10.1016/j.jweia.2019.06.015
9. Wind Turbine Power Curve Upgrades: Part II D. Astolfi & F. Castellani 10.3390/en12081503
10. Real-time identification of clusters of turbines F. Bernardoni et al. 10.1088/1742-6596/1618/2/022032
11. Wake Management in Wind Farms: An Adaptive Control Approach H. Dhiman et al. 10.3390/en12071247
12. Wake steering of multirotor wind turbines G. Speakman et al. 10.1002/we.2633
13. Wind farm power maximization through wake steering with a new multiple wake model for prediction of turbulence intensity G. Qian & T. Ishihara 10.1016/j.energy.2020.119680
14. An active power control approach for wake-induced load alleviation in a fully developed wind farm boundary layer M. Vali et al. 10.5194/wes-4-139-2019
15. A review of full-scale wind-field measurements of the wind-turbine wake effect and a measurement of the wake-interaction effect H. Sun et al. 10.1016/j.rser.2020.110042
16. Wind plants can impact long-term local atmospheric conditions N. Bodini et al. 10.1038/s41598-021-02089-2
17. Multiobjective model predictive control design for wind turbines and farms L. Buccafusca & C. Beck 10.1063/5.0039707
18. Influence of atmospheric conditions on the power production of utility-scale wind turbines in yaw misalignment M. Howland et al. 10.1063/5.0023746
19. Online model calibration for a simplified LES model in pursuit of real-time closed-loop wind farm control B. Doekemeijer et al. 10.5194/wes-3-749-2018
20. Joint optimization of wind farm layout considering optimal control K. Chen et al. 10.1016/j.renene.2021.10.032
21. Wind turbine drivetrains: state-of-the-art technologies and future development trends A. Nejad et al. 10.5194/wes-7-387-2022
22. A low-fidelity dynamic wind farm model for simulating time-varying wind conditions and floating platform motion A. Kheirabadi & R. Nagamune 10.1016/j.oceaneng.2021.109313
23. Design and analysis of a wake steering controller with wind direction variability E. Simley et al. 10.5194/wes-5-451-2020
24. A point vortex transportation model for yawed wind turbine wakes H. Zong & F. Porté-Agel 10.1017/jfm.2020.123
25. Adaptation of Engineering Wake Models using Gaussian Process Regression and High-Fidelity Simulation Data L. Andersson et al. 10.1088/1742-6596/1618/2/022043
26. The helix approach: Using dynamic individual pitch control to enhance wake mixing in wind farms J. Frederik et al. 10.1002/we.2513
27. Wind tunnel testing of wake steering with dynamic wind direction changes F. Campagnolo et al. 10.5194/wes-5-1273-2020
28. Mechanical behaviour of wind turbines operating above design conditions F. Castellani et al. 10.1016/j.prostr.2020.02.045
29. Optimising yaw control at wind farm level E. Bossanyi 10.1088/1742-6596/1222/1/012023
30. Analysis of control-oriented wake modeling tools using lidar field results J. Annoni et al. 10.5194/wes-3-819-2018
31. Implementation and Analyses of Yaw Based Coordinated Control of Wind Farms T. Ahmad et al. 10.3390/en12071266
32. Improving wind farm flow models by learning from operational data J. Schreiber et al. 10.5194/wes-5-647-2020
33. On the Robustness of Active Wake Control to Wind Turbine Downtime S. Kanev 10.3390/en12163152
34. Wind tunnel experiments on wind turbine wakes in yaw: redefining the wake width J. Schottler et al. 10.5194/wes-3-257-2018
35. Wind Turbine Yaw Control Optimization and Its Impact on Performance D. Astolfi et al. 10.3390/machines7020041
36. A new method to characterize the curled wake shape under yaw misalignment B. Sengers et al. 10.1088/1742-6596/1618/6/062050
37. Dynamic wake steering and its impact on wind farm power production and yaw actuator duty S. Kanev 10.1016/j.renene.2019.06.122
38. Numerical and Experimental Methods for the Assessment of Wind Turbine Control Upgrades D. Astolfi et al. 10.3390/app8122639
39. Tilted wind turbines in farm configuration for improved global efficiency F. Trigaux et al. 10.1088/1742-6596/1618/6/062035
40. Floating platform effects on power generation in spar and semisubmersible wind turbines H. Johlas et al. 10.1002/we.2608
41. U.S. East Coast Lidar Measurements Show Offshore Wind Turbines Will Encounter Very Low Atmospheric Turbulence N. Bodini et al. 10.1029/2019GL082636
42. A review of applications of artificial intelligent algorithms in wind farms Y. Wang et al. 10.1007/s10462-019-09768-7
43. Real-time optimization of wind farms using modifier adaptation and machine learning L. Andersson & L. Imsland 10.5194/wes-5-885-2020
44. Sensitivity and Uncertainty of the FLORIS Model Applied on the Lillgrund Wind Farm M. van Beek et al. 10.3390/en14051293
45. Quantification of wake shape modulation and deflection for tilt and yaw misaligned wind turbines J. Bossuyt et al. 10.1017/jfm.2021.237
46. Experimental investigation of wind turbine wake and load dynamics during yaw maneuvers S. Macrí et al. 10.5194/wes-6-585-2021
47. Wind Farm Modeling with Interpretable Physics-Informed Machine Learning M. Howland & J. Dabiri 10.3390/en12142716
48. A simulation study demonstrating the importance of large-scale trailing vortices in wake steering P. Fleming et al. 10.5194/wes-3-243-2018
49. Large-eddy simulation study of wind farm active power control with a coordinated load distribution M. Vali et al. 10.1088/1742-6596/1037/3/032018
50. Exploring the complexities associated with full-scale wind plant wake mitigation control experiments J. Duncan Jr. et al. 10.5194/wes-5-469-2020
51. Experimental investigation and analytical modelling of active yaw control for wind farm power optimization H. Zong & F. Porté-Agel 10.1016/j.renene.2021.02.059
52. An Application of Nested Control Synthesis for Wind Farms L. Buccafusca et al. 10.1016/j.ifacol.2019.12.158
53. Lidar measurements of yawed-wind-turbine wakes: characterization and validation of analytical models P. Brugger et al. 10.5194/wes-5-1253-2020
54. Expert Elicitation on Wind Farm Control J. van Wingerden et al. 10.1088/1742-6596/1618/2/022025
55. A Review of Recent Advancements in Offshore Wind Turbine Technology T. Asim et al. 10.3390/en15020579
56. Closely spaced corotating helical vortices: General solutions A. Castillo-Castellanos et al. 10.1103/PhysRevFluids.6.114701
57. Field experiment for open-loop yaw-based wake steering at a commercial onshore wind farm in Italy B. Doekemeijer et al. 10.5194/wes-6-159-2021
58. Effects of axial induction control on wind farm energy production - A field test D. van der Hoek et al. 10.1016/j.renene.2019.03.117
59. Wind turbine power modelling and optimization using artificial neural network with wind field experimental data H. Sun et al. 10.1016/j.apenergy.2020.115880
60. A Study of the Impact of Pitch Misalignment on Wind Turbine Performance D. Astolfi 10.3390/machines7010008
61. Validation of a lookup-table approach to modeling turbine fatigue loads in wind farms under active wake control H. Mendez Reyes et al. 10.5194/wes-4-549-2019
62. 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
63. Initial results from a field campaign of wake steering applied at a commercial wind farm – Part 1 P. Fleming et al. 10.5194/wes-4-273-2019
64. Joint state-parameter estimation for a control-oriented LES wind farm model B. Doekemeijer et al. 10.1088/1742-6596/1037/3/032013
65. Experimental characterisation of the wake behind paired vertical-axis wind turbines A. Vergaerde et al. 10.1016/j.jweia.2020.104353
66. Dynamic wake tracking using a cost-effective LiDAR and Kalman filtering: Design, simulation and full-scale validation W. Lio et al. 10.1016/j.renene.2021.03.081
67. Comparison of the Gaussian Wind Farm Model with Historical Data of Three Offshore Wind Farms B. Doekemeijer et al. 10.3390/en15061964
68. A Study on the Effect of Closed-Loop Wind Farm Control on Power and Tower Load in Derating the TSO Command Condition H. Kim et al. 10.3390/en12102004
69. Wind farm flow control oriented to electricity markets and grid integration: Initial perspective analysis I. Eguinoa et al. 10.1002/adc2.80
70. Modulation of turbulence scales passing through the rotor of a wind turbine N. Tobin & L. Chamorro 10.1080/14685248.2018.1547387
71. Wind farm yaw control set-point optimization under model parameter uncertainty M. Howland 10.1063/5.0051071
72. Power increases using wind direction spatial filtering for wind farm control: Evaluation using FLORIS, modified for dynamic settings M. Sinner et al. 10.1063/5.0039899
73. Dynamic Strategies for Yaw and Induction Control of Wind Farms Based on Large-Eddy Simulation and Optimization W. Munters & J. Meyers 10.3390/en11010177
74. Wind farm power optimization through wake steering M. Howland et al. 10.1073/pnas.1903680116
75. Wind Farm Power Optimization and Fault Ride-Through under Inter-Turn Short-Circuit Fault K. Ma et al. 10.3390/en14113072
76. Study of wind farm control potential based on SCADA data J. Schreiber et al. 10.1088/1742-6596/1037/3/032012
77. Robust active wake control in consideration of wind direction variability and uncertainty A. Rott et al. 10.5194/wes-3-869-2018
78. Review of wake management techniques for wind turbines D. Houck 10.1002/we.2668
79. Coplanar lidar measurement of a single wind energy converter wake in distinct atmospheric stability regimes at the Perdigão 2017 experiment N. Wildmann et al. 10.1088/1742-6596/1037/5/052006
80. Toward flow control: An assessment of the curled wake model in the FLORIS framework C. Bay et al. 10.1088/1742-6596/1618/2/022033
81. Observability of the ambient conditions in model‐based estimation for wind farm control: A focus on static models B. Doekemeijer & J. van Wingerden 10.1002/we.2495
82. Field investigation on the influence of yaw misalignment on the propagation of wind turbine wakes M. Bromm et al. 10.1002/we.2210
83. Field Validation of Wake Steering Control with Wind Direction Variability E. Simley et al. 10.1088/1742-6596/1452/1/012012
84. Optimal closed-loop wake steering – Part 1: Conventionally neutral atmospheric boundary layer conditions M. Howland et al. 10.5194/wes-5-1315-2020
85. Analysis of Wind-Turbine Main Bearing Loads Due to Constant Yaw Misalignments over a 20 Years Timespan M. Cardaun et al. 10.3390/en12091768
86. Offshore Wind Turbines Will Encounter Very Low Atmospheric Turbulence N. Bodini et al. 10.1088/1742-6596/1452/1/012023
87. Wind Farm Loads under Wake Redirection Control S. Kanev et al. 10.3390/en13164088
88. On wind farm wake mixing strategies using dynamic individual pitch control J. Frederik et al. 10.1088/1742-6596/1618/2/022050
89. Wind direction estimation using SCADA data with consensus-based optimization J. Annoni et al. 10.5194/wes-4-355-2019
90. LSTM-NN Yaw Control of Wind Turbines Based on Upstream Wind Information W. Chen et al. 10.3390/en13061482
91. Experimental results of wake steering using fixed angles P. Fleming et al. 10.5194/wes-6-1521-2021
92. Predicting the benefit of wake steering on the annual energy production of a wind farm using large eddy simulations and Gaussian process regression D. Hoek et al. 10.1088/1742-6596/1618/2/022024
93. Investigation into the shape of a wake of a yawed full-scale turbine P. Fleming et al. 10.1088/1742-6596/1037/3/032010
94. Wake steering optimization under uncertainty J. Quick et al. 10.5194/wes-5-413-2020
95. Wind farm control ‐ Part I: A review on control system concepts and structures L. Andersson et al. 10.1049/rpg2.12160
96. Field testing of a local wind inflow estimator and wake detector J. Schreiber et al. 10.5194/wes-5-867-2020
97. The Yawing Behavior of Horizontal-Axis Wind Turbines: A Numerical and Experimental Analysis F. Castellani et al. 10.3390/machines7010015
98. Design and analysis of a wake model for spatially heterogeneous flow A. Farrell et al. 10.5194/wes-6-737-2021
99. Influence of Wake Model Superposition and Secondary Steering on Model-Based Wake Steering Control with SCADA Data Assimilation M. Howland & J. Dabiri 10.3390/en14010052
100. Lidar-based closed-loop wake redirection in high-fidelity simulation S. Raach et al. 10.1088/1742-6596/1037/3/032016
101. Lidar assisted wake redirection in wind farms: A data driven approach H. Dhiman et al. 10.1016/j.renene.2020.01.027
102. Data-Driven Methods for the Analysis of Wind Turbine Yaw Control Optimization D. Astolfi et al. 10.1115/1.4047413
103. Full-Scale Field Test of Wake Steering P. Fleming et al. 10.1088/1742-6596/854/1/012013