90 citations as recorded by crossref.

1. Turbulence-resolving simulations of wind turbine wakes G. Deskos et al. 10.1016/j.renene.2018.11.084
2. Validating subspace predictive repetitive control under turbulent wind conditions with wind tunnel experiment J. Frederik et al. 10.1088/1742-6596/1037/3/032008
3. Interaction between low-level jets and wind farms in a stable atmospheric boundary layer S. Gadde & R. Stevens 10.1103/PhysRevFluids.6.014603
4. The Potential of Satellite Sounding Observations for Deriving Atmospheric Wind in All-Weather Conditions Y. Zhang et al. 10.3390/rs13152947
5. Fluid-structure coupled computations of the NREL 5 MW wind turbine by means of CFD B. Dose et al. 10.1016/j.renene.2018.05.064
6. Load mitigation and power tracking capability for wind turbines using linear matrix inequality‐based control design F. Pöschke et al. 10.1002/we.2516
7. Effects of inflow boundary layer on the wake of a radially non-uniform porous disk A. Abdulrahim et al. 10.1063/5.0045404
8. Decoupled Modelling Approaches for Environmental Interactions with Monopile-Based Offshore Wind Support Structures P. van der Male et al. 10.3390/en13195195
9. A Multivariate High-Order Markov Model for the Income Estimation of a Wind Farm R. De Blasis et al. 10.3390/en14020388
10. Rapid control prototyping of model predictive wind turbine control toward field testing S. Dickler et al. 10.1088/1742-6596/1618/2/022068
11. Using crank-crank mechanism to reorient flat blades of vertical wind turbine for improving its performance K. Khader & O. Nada 10.1016/j.aej.2020.07.020
12. Roadmap to the multidisciplinary design analysis and optimisation of wind energy systems S. Perez-Moreno et al. 10.1088/1742-6596/753/6/062011
13. Review and evaluation of wake loss models for wind energy applications C. Archer et al. 10.1016/j.apenergy.2018.05.085
14. Iterative feedback tuning of wind turbine controllers E. van Solingen et al. 10.5194/wes-2-153-2017
15. Modelling the effects of environmental conditions on wind turbine failures M. Reder & J. Melero 10.1002/we.2201
16. Observed site obstacle impacts on the energy performance of a large scale urban wind turbine using an electrical energy rose R. Byrne et al. 10.1016/j.esd.2017.12.002
17. On the impact of non-Gaussian wind statistics on wind turbines – an experimental approach J. Schottler et al. 10.5194/wes-2-1-2017
18. A de-ambiguous condition monitoring scheme for wind turbines using least squares generative adversarial networks A. Wang et al. 10.1016/j.renene.2021.12.049
19. Using high-frequency SCADA data for wind turbine performance monitoring: A sensitivity study E. Gonzalez et al. 10.1016/j.renene.2018.07.068
20. Evaluating the economic return to public wind energy research and development in the United States R. Wiser & D. Millstein 10.1016/j.apenergy.2019.114449
21. Generating wind power scenarios for probabilistic ramp event prediction using multivariate statistical post-processing R. Worsnop et al. 10.5194/wes-3-371-2018
22. Combined experimental and numerical study on the near wake of a Darrieus VAWT under turbulent flows A. Molina et al. 10.1088/1742-6596/1037/7/072052
23. Assessing wind power operating costs in the United States: Results from a survey of wind industry experts R. Wiser et al. 10.1016/j.ref.2019.05.003
24. Special Issue “Numerical Simulation of Wind Turbines” G. Ferrara & A. Bianchini 10.3390/en14061616
25. A Review of Urban Wind Energy Research: Aerodynamics and Other Challenges D. Micallef & G. van Bussel 10.3390/en11092204
26. A data-driven, physics-informed framework for forecasting the spatiotemporal evolution of chaotic dynamics with nonlinearities modeled as exogenous forcings M. Khodkar & P. Hassanzadeh 10.1016/j.jcp.2021.110412
27. Flow Structure and Turbulence in Wind Farms R. Stevens & C. Meneveau 10.1146/annurev-fluid-010816-060206
28. Large eddy simulations of the effect of vertical staggering in large wind farms M. Zhang et al. 10.1002/we.2278
29. Data-driven learning framework for associating weather conditions and wind turbine failures M. Reder et al. 10.1016/j.ress.2017.10.004
30. Wind Speed Modeling by Nested ARIMA Processes S. Sim et al. 10.3390/en12010069
31. Tuning turbine rotor design for very large wind farms T. Nishino & W. Hunter 10.1098/rspa.2018.0237
32. Wind resource mapping and energy estimation in complex terrain: A framework based on field observations and computational fluid dynamics W. Radünz et al. 10.1016/j.renene.2020.01.014
33. Data-driven repetitive control: Wind tunnel experiments under turbulent conditions J. Frederik et al. 10.1016/j.conengprac.2018.08.011
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. Effects of Two-Dimensional Steep Hills on the Performance of Wind Turbines and Wind Farms L. Liu & R. Stevens 10.1007/s10546-020-00522-z
36. The effect of the integral length scale of turbulence on a wind turbine aerofoil G. Vita et al. 10.1016/j.jweia.2020.104235
37. A Steady-State Wind Farm Wake Model Implemented in OpenFAST A. Cioffi et al. 10.3390/en13236158
38. Some modelling improvements for prediction of wind turbine rotor loads in turbulent wind A. Muñoz‐Simón et al. 10.1002/we.2675
39. Transient response of offshore wind turbines on monopiles in sand: role of cyclic hydro–mechanical soil behaviour S. Corciulo et al. 10.1016/j.compgeo.2016.11.010
40. Load reduction for wind turbines: an output-constrained, subspace predictive repetitive control approach Y. Liu et al. 10.5194/wes-7-523-2022
41. Development of a Computational Fluid Dynamics Methodology to Reproduce the Effects of Macroturbulence on Wind Turbines and Its Application to the Particular Case of a VAWT F. Balduzzi et al. 10.1115/1.4044231
42. On Real-Time Fault Detection in Wind Turbines: Sensor Selection Algorithm and Detection Time Reduction Analysis F. Pozo et al. 10.3390/en9070520
43. Review of Research on Condition Monitoring for Improved O&M of Offshore Wind Turbine Drivetrains J. Helsen 10.1007/s40857-021-00237-2
44. A review of wind turbine-oriented active flow control strategies S. Aubrun et al. 10.1007/s00348-017-2412-0
45. Precision blade deflection measurement system using wireless inertial sensor nodes E. Grundkötter & J. Melbert 10.1002/we.2680
46. Perdigão 2015: methodology for atmospheric multi-Doppler lidar experiments N. Vasiljević et al. 10.5194/amt-10-3463-2017
47. Full-scale field test of a model predictive control system for a 3 MW wind turbine S. Dickler et al. 10.1007/s10010-021-00467-w
48. Dynamic stall at high Reynolds numbers due to variant types of airfoil motion J. Kiefer et al. 10.1088/1742-6596/1618/5/052028
49. Promoting the System Integration of Renewable Energies: Toward a Decision Support System for Incentivizing Spatially Diversified Deployment J. Piel et al. 10.1080/07421222.2017.1394044
50. Geotechnical aspects of offshore wind turbine dynamics from 3D non-linear soil-structure simulations E. Kementzetzidis et al. 10.1016/j.soildyn.2019.01.037
51. Overall design optimization of dedicated outboard airfoils for horizontal axis wind turbine blades X. Li et al. 10.1002/we.2164
52. Unravelling the wind flow over highly complex regions through computational modeling and two-dimensional lidar scanning J. Palma et al. 10.1088/1742-6596/1222/1/012006
53. A new optimization approach to improve the overall performance of thick wind turbine airfoils X. Li et al. 10.1016/j.energy.2016.09.108
54. Effect of low-level jet height on wind farm performance S. Gadde & R. Stevens 10.1063/5.0026232
55. Floating offshore wind turbine aerodynamics: Trends and future challenges D. Micallef & A. Rezaeiha 10.1016/j.rser.2021.111696
56. Data-driven farm-wide fatigue estimation on jacket-foundation OWTs for multiple SHM setups F. d N Santos et al. 10.5194/wes-7-299-2022
57. Input torque measurements for wind turbine gearboxes using fiber-optic strain sensors U. Gutierrez Santiago et al. 10.5194/wes-7-505-2022
58. A comparison study on jacket substructures for offshore wind turbines based on optimization J. Häfele et al. 10.5194/wes-4-23-2019
59. Issues with Data Quality for Wind Turbine Condition Monitoring and Reliability Analyses K. Leahy et al. 10.3390/en12020201
60. Revisiting the structural collapse of a 52.3 m composite wind turbine blade in a full-scale bending test X. Chen et al. 10.1002/we.2087
61. Application of extended vortex theory for blade element analysis of horizontal-axis wind turbines D. Wood 10.1016/j.renene.2017.12.085
62. Wind-Turbine and Wind-Farm Flows: A Review F. Porté-Agel et al. 10.1007/s10546-019-00473-0
63. Long-range Doppler lidar measurements of wind turbine wakes and their interaction with turbulent atmospheric boundary-layer flow at Perdigao 2017 N. Wildmann et al. 10.1088/1742-6596/1618/3/032034
64. A Large Eddy Simulation framework to assess wind farm power maximization strategies: Validation of maximization by yawing M. Draper et al. 10.1088/1742-6596/1037/7/072051
65. Towards improved turbulence estimation with Doppler wind lidar velocity-azimuth display (VAD) scans N. Wildmann et al. 10.5194/amt-13-4141-2020
66. Aerodynamic measurements on wind turbines J. Schepers & S. Schreck 10.1002/wene.320
67. WESgraph: a graph database for the wind farm domain E. Quaeghebeur et al. 10.5194/wes-5-259-2020
68. Exploring a better turbine layout in vertically staggered wind farms M. Zhang & R. Stevens 10.1088/1742-6596/1037/7/072041
69. Active Power Control of Waked Wind Farms * *J.W. van Wingerden would like to acknowledge the CL-Windcon project. This project has received funding from the European Union Horizon 2020 research and innovation programme under grant agreement No 727477. L. Pao gratefully acknowledges funding provided by the Hanse-Wissenschaftskolleg Institute for Advanced Study, Delmenhorst, Germany. J. Aho has been supported in part by the Renewable and Sustainable Energy Institute and a University of Colorado Boulder Graduate School Summer Fellowship. J. van Wingerden et al. 10.1016/j.ifacol.2017.08.378
70. A review of the evaluation of urban wind resources: challenges and perspectives R. Reja et al. 10.1016/j.enbuild.2021.111781
71. Exploiting Bend-Twist Coupling in Wind Turbine Control for Load Reduction M. Wiens et al. 10.1016/j.ifacol.2020.12.781
72. Torque measurements from MW wind turbine Gearboxes: a system identification approach U. Santiago et al. 10.1088/1742-6596/1618/2/022027
73. Main bearings in large offshore wind turbines: development trends, design and analysis requirements J. Torsvik et al. 10.1088/1742-6596/1037/4/042020
74. Powering the 21st century by wind energy—Options, facts, figures K. Rohrig et al. 10.1063/1.5089877
75. Wind Turbine Failures - Tackling current Problems in Failure Data Analysis M. Reder et al. 10.1088/1742-6596/753/7/072027
76. Data‐driven generation of synthetic wind speeds: A comparative study D. D'Ambrosio et al. 10.1049/rpg2.12394
77. A Large Eddy Simulation-Actuator Line Model framework to simulate a scaled wind energy facility and its application M. Draper et al. 10.1016/j.jweia.2018.09.010
78. A data-driven analytical model for wind turbine wakes using machine learning method G. Nai-Zhi et al. 10.1016/j.enconman.2021.115130
79. Performance Studies on a Wind Turbine Blade Section for Low Wind Speeds With a Gurney Flap M. Ahmed & E. Nabolaniwaqa 10.1115/1.4043708
80. Grand Challenges in Wind Energy Research D. Wood 10.3389/fenrg.2020.624646
81. Experimental investigation of aerodynamic characteristics of bat carcasses after collision with a wind turbine S. Prakash & C. Markfort 10.5194/wes-5-745-2020
82. A Bayesian Approach for Predicting Wind Turbine Failures based on Meteorological Conditions M. Reder & J. Melero 10.1088/1742-6596/1037/6/062003
83. On the spectral behaviour of the turbulence-driven power fluctuations of horizontal-axis turbines G. Deskos et al. 10.1017/jfm.2020.681
84. An observational climatology of anomalous wind events at offshore meteomast IJmuiden (North Sea) P. Kalverla et al. 10.1016/j.jweia.2017.03.008
85. Horizontal axis wind turbine testing at high Reynolds numbers M. Miller et al. 10.1103/PhysRevFluids.4.110504
86. A critical review on the simulations of wind turbine aerodynamics focusing on hybrid RANS-LES methods J. Thé & H. Yu 10.1016/j.energy.2017.07.028
87. A Robust Prescriptive Framework and Performance Metric for Diagnosing and Predicting Wind Turbine Faults Based on SCADA and Alarms Data with Case Study K. Leahy et al. 10.3390/en11071738
88. Exploring the environmental and economic impacts of wind energy: a cost-benefit perspective K. Adeyeye et al. 10.1080/13504509.2020.1768171
89. Increasing the value of wind: From passive to active actors in multiple power markets K. Skytte & L. Bobo 10.1002/wene.328
90. Performance estimation of a wind farm with a dependence structure between electricity price and wind speed L. Casula et al. 10.1111/twec.12962