183 citations as recorded by crossref.

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16. An experimental study on the aerodynamic loads of a floating offshore wind turbine under imposed motions F. Taruffi et al. https://doi.org/10.5194/wes-9-343-2024
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20. Modelling the effects of environmental conditions on wind turbine failures M. Reder & J. Melero https://doi.org/10.1002/we.2201
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25. Spatial structures of wind farms: Correlation analysis of the generated electrical power E. Jungblut et al. https://doi.org/10.1016/j.physa.2025.130508
26. Wake interaction of dual surging FOWT rotors in tandem Y. Li et al. https://doi.org/10.1016/j.renene.2024.122062
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28. Large-eddy simulation of the effects of horizontal and vertical adjustments in a wind farm D. Zhao et al. https://doi.org/10.3389/fenrg.2023.1333578
29. Using high-frequency SCADA data for wind turbine performance monitoring: A sensitivity study E. Gonzalez et al. https://doi.org/10.1016/j.renene.2018.07.068
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38. Sustainable Maritime Governance of Digital Technologies for Marine Economic Development and for Managing Challenges in Shipping Risk: Legal Policy and Marine Environmental Management M. Khaskheli et al. https://doi.org/10.3390/su17219526
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40. Vibration control of barge-type floating offshore wind turbines using horizontal planar eddy current dampers J. Zhang et al. https://doi.org/10.1016/j.cscm.2026.e06157
41. Wind tunnel experiments on wind turbine wakes in yaw: redefining the wake width J. Schottler et al. https://doi.org/10.5194/wes-3-257-2018
42. A Review on Environmental Parameters Monitoring Systems for Power Generation Estimation from Renewable Energy Systems S. Verma et al. https://doi.org/10.1007/s12668-024-01358-4
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44. Effects of Two-Dimensional Steep Hills on the Performance of Wind Turbines and Wind Farms L. Liu & R. Stevens https://doi.org/10.1007/s10546-020-00522-z
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50. On Real-Time Fault Detection in Wind Turbines: Sensor Selection Algorithm and Detection Time Reduction Analysis F. Pozo et al. https://doi.org/10.3390/en9070520
51. Review of Research on Condition Monitoring for Improved O&M of Offshore Wind Turbine Drivetrains J. Helsen https://doi.org/10.1007/s40857-021-00237-2
52. A review of wind turbine-oriented active flow control strategies S. Aubrun et al. https://doi.org/10.1007/s00348-017-2412-0
53. Precision blade deflection measurement system using wireless inertial sensor nodes E. Grundkötter & J. Melbert https://doi.org/10.1002/we.2680
54. Torque Ripple and Mass Comparison between 20 MW Rare-Earth and Ferrite Permanent Magnet Wind Generators T. Hoang et al. https://doi.org/10.3390/machines11121063
55. Perdigão 2015: methodology for atmospheric multi-Doppler lidar experiments N. Vasiljević et al. https://doi.org/10.5194/amt-10-3463-2017
56. Full-scale field test of a model predictive control system for a 3 MW wind turbine S. Dickler et al. https://doi.org/10.1007/s10010-021-00467-w
57. Experimental evaluation of the mesh load factor (Kγ) of a 6MW wind turbine gearbox U. Santiago et al. https://doi.org/10.1088/1742-6596/2265/3/032003
58. Evaluating the potential of wind and solar energy in achieving zero energy ratings in residential homes: A Nottingham case study K. Naik et al. https://doi.org/10.1016/j.segy.2023.100129
59. Overall design optimization of dedicated outboard airfoils for horizontal axis wind turbine blades X. Li et al. https://doi.org/10.1002/we.2164
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61. A copula post-processing method for wind power projections under climate change S. Moradian et al. https://doi.org/10.1016/j.ecmx.2024.100660
62. Digital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions F. Stadtmann et al. https://doi.org/10.1109/ACCESS.2023.3321320
63. A new optimization approach to improve the overall performance of thick wind turbine airfoils X. Li et al. https://doi.org/10.1016/j.energy.2016.09.108
64. Combined Prediction of Wind Power in Extreme Weather Based on Time Series Adversarial Generation Networks W. Ye et al. https://doi.org/10.1109/ACCESS.2024.3433496
65. Performance analysis of low Reynolds number vertical axis wind turbines using low-fidelity and mid-fidelity methods and wind conditions in the city of Nottingham S. Shubham et al. https://doi.org/10.1016/j.energy.2023.127904
66. Data-driven farm-wide fatigue estimation on jacket-foundation OWTs for multiple SHM setups F. d N Santos et al. https://doi.org/10.5194/wes-7-299-2022
67. Predicting Power Flow and Wind Capacity Factor Using Integrated Spatio‐Temporal Approach S. Dahal et al. https://doi.org/10.1049/gtd2.70089
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69. Input torque measurements for wind turbine gearboxes using fiber-optic strain sensors U. Gutierrez Santiago et al. https://doi.org/10.5194/wes-7-505-2022
70. A comparison study on jacket substructures for offshore wind turbines based on optimization J. Häfele et al. https://doi.org/10.5194/wes-4-23-2019
71. Spatio-temporal wind speed forecasting using graph networks and novel Transformer architectures L. Bentsen et al. https://doi.org/10.1016/j.apenergy.2022.120565
72. Revisiting the structural collapse of a 52.3 m composite wind turbine blade in a full‐scale bending test X. Chen et al. https://doi.org/10.1002/we.2087
73. A Large Eddy Simulation framework to assess wind farm power maximization strategies: Validation of maximization by yawing M. Draper et al. https://doi.org/10.1088/1742-6596/1037/7/072051
74. Towards improved turbulence estimation with Doppler wind lidar velocity-azimuth display (VAD) scans N. Wildmann et al. https://doi.org/10.5194/amt-13-4141-2020
75. Grand challenges in the digitalisation of wind energy A. Clifton et al. https://doi.org/10.5194/wes-8-947-2023
76. WESgraph: a graph database for the wind farm domain E. Quaeghebeur et al. https://doi.org/10.5194/wes-5-259-2020
77. Review of Low Voltage Ride-Through Capabilities in Wind Energy Conversion System W. Ntuli et al. https://doi.org/10.3390/en17215321
78. Identification of operational deflection shapes of a wind turbine gearbox using fiber-optic strain sensors on a serial production end-of-line test bench U. Gutierrez Santiago et al. https://doi.org/10.5194/wes-10-207-2025
79. A review of the evaluation of urban wind resources: challenges and perspectives R. Reja et al. https://doi.org/10.1016/j.enbuild.2021.111781
80. Energy communities: Insights from scientific publications C. Delcea et al. https://doi.org/10.24136/oc.3137
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85. A Large Eddy Simulation-Actuator Line Model framework to simulate a scaled wind energy facility and its application M. Draper et al. https://doi.org/10.1016/j.jweia.2018.09.010
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118. Generating wind power scenarios for probabilistic ramp event prediction using multivariate statistical post-processing R. Worsnop et al. https://doi.org/10.5194/wes-3-371-2018
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128. Achieving Power-Noise Balance in Wind Farms by Fine-Tuning the Layout with Reinforcement Learning G. Guo et al. https://doi.org/10.3390/en18185019
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