168 citations as recorded by crossref.

1. Hyperparameter tuning framework for calibrating analytical wake models using SCADA data of an offshore wind farm D. van Binsbergen et al. https://doi.org/10.5194/wes-9-1507-2024
2. Unlocking the Potential of Digital Twins for a Greener Grid: Applications for the whole range of the electric power system P. Chongfuangprinya et al. https://doi.org/10.1109/MELE.2024.3423070
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4. Estimation of Short-Term Power of Wind Turbines Using Artificial Neural Network (ANN) and Swarm Intelligence K. Ateş https://doi.org/10.3390/su151813572
5. Ranking multi-fidelity model performances in reproducing internal and external wake impacts at neighbouring offshore wind farms S. Freitas et al. https://doi.org/10.1088/1742-6596/2767/9/092045
6. Wear performance evaluation of journal bearings in wind turbine gearbox K. Zhang et al. https://doi.org/10.1016/j.ijmecsci.2025.110346
7. Study and Quantitative Analysis of Mode Localization in Wind Turbine Blades T. Jiang et al. https://doi.org/10.3390/jmse12010067
8. Introduction of the virtual center of wind pressure for correlating large-scale turbulent structures and wind turbine loads C. Schubert et al. https://doi.org/10.5194/wes-11-1267-2026
9. Offshore renewable energies: exploring floating modular energy islands—materials, construction technologies, and life cycle assessment E. Marino et al. https://doi.org/10.1007/s40722-025-00403-y
10. Integrated preventive–proactive–reactive offshore wind farms maintenance planning G. Bocewicz et al. https://doi.org/10.1007/s10479-024-05951-4
11. A full-coupled free vortex solver for floating offshore wind turbine: Aerodynamic performance and motion response analysis Z. Wang et al. https://doi.org/10.1016/j.energy.2026.141021
12. Innovative Bézier-based parametric and CFD modeling framework for the optimization of Archimedes Screw Turbines in decentralized hydropower C. Sayaghi et al. https://doi.org/10.1016/j.ref.2026.100837
13. An open database of high-fidelity, multi-Reynolds airfoil polars for wind turbine blade design F. Papi et al. https://doi.org/10.5194/wes-11-1123-2026
14. Experimental comparison of induction control methods for wind farm power maximization on a scaled two-turbine setup D. Van Der Hoek et al. https://doi.org/10.1088/1742-6596/2767/9/092064
15. Design optimisation of an open-source reference rotor library for multi-rotor development and innovation A. Sheik Hassan et al. https://doi.org/10.5194/wes-11-705-2026
16. Control Co-Design of Wind Turbines L. Pao et al. https://doi.org/10.1146/annurev-control-061423-101708
17. Precursor Damage Quantification in Composite Structures Using Coda Wave Interferometry and Nonlinear Ultrasonics H. Ahmed et al. https://doi.org/10.1115/1.4065707
18. Effect of freestream turbulence on the aerodynamics of the FFA-W3-211 airfoil H. Kim et al. https://doi.org/10.1088/1742-6596/3224/4/042048
19. High-fidelity simulations of airfoil vortex-induced vibrations: from 2D to blade-like aspect ratios R. Fernandez-Aldama et al. https://doi.org/10.1088/1742-6596/2767/2/022054
20. Effect of mooring failure and wind-wave misalignment on semi-submersible FOWT platform equipped with a novel primary-secondary mooring system Z. Que et al. https://doi.org/10.1016/j.oceaneng.2025.120877
21. Numerical Assessment of Steady-State RANS Models for Predicting Boundary-Layer Transition, Separation, and Wake Characteristics of Horizontal-Axis Wind Turbines A. Bouhelal et al. https://doi.org/10.1115/1.4071477
22. Are vertical-axis wind turbines a scientific mirage or the future of offshore wind energy? A critical perspective a century after Darrieus’ patent A. Bianchini et al. https://doi.org/10.1016/j.rser.2026.116915
23. Comparison of measured and simulated fatigue loads on a multi-megawatt wind turbine A. Patel et al. https://doi.org/10.5194/wes-11-1147-2026
24. Direct integration of non-axisymmetric Gaussian wind-turbine wake including yaw and wind-veer effects K. Ali et al. https://doi.org/10.5194/wes-10-511-2025
25. Integrated Analytical and Finite Element-Based Modelling, Manufacturing, and Characterisation of Vacuum-Infused Thermoplastic Composite Laminates Cured at Room Temperature V. Beber et al. https://doi.org/10.3390/jcs8120545
26. On the characteristics of the wake of a wind turbine undergoing large motions caused by a floating structure: an insight based on experiments and multi-fidelity simulations from the OC6 project Phase III S. Cioni et al. https://doi.org/10.5194/wes-8-1659-2023
27. An efficient reduced-order modeling framework for spatiotemporal aerodynamic damping in flexible wind turbine blades H. Wu et al. https://doi.org/10.1063/5.0274308
28. Experimental investigation of a small-scale helical Savonius vertical-axis wind turbine for low-wind regions: Performance, feasibility, and scaling analysis M. Hasan et al. https://doi.org/10.1016/j.awe.2026.100119
29. Vibration-Based Predictive Maintenance for Wind Turbines: A PRISMA-Guided Systematic Review on Methods, Applications, and Remaining Useful Life Prediction C. Constantino-Robles et al. https://doi.org/10.3390/applmech7010011
30. Winds of Progress: An In-Depth Exploration of Offshore, Floating, and Onshore Wind Turbines as Cornerstones for Sustainable Energy Generation and Environmental Stewardship S. Khan Afridi et al. https://doi.org/10.1109/ACCESS.2024.3397243
31. The influence of wind veer and drivetrain flexibility on fatigue loading for large floating wind turbines V. Krathe et al. https://doi.org/10.5194/wes-10-2903-2025
32. Maximizing the cost effectiveness of electric power generation through the integration of distributed generators: wind, hydro and solar power I. Idoko et al. https://doi.org/10.1186/s42269-023-01125-7
33. An experimental investigation of the effects of a boundary layer inflow on the wake characteristics of a model wind turbine and a porous disk B. Öztürk et al. https://doi.org/10.1063/5.0249345
34. The KAN-MHA model: A novel physical knowledge based multi-source data-driven adaptive method for airfoil flow field prediction S. Yang et al. https://doi.org/10.1016/j.jcp.2025.113846
35. Augmenting Vertical Energy Entrainment within Wind Farms via Lifting Devices Y. Li et al. https://doi.org/10.1088/1742-6596/3224/9/092006
36. An unsupervised learning framework for health diagnosis by incorporating multiscale data L. Fang et al. https://doi.org/10.1016/j.istruc.2024.107396
37. Improving Floating Offshore Wind Farm Flow Control With Scalable Model-Based Deep Reinforcement Learning M. Mei et al. https://doi.org/10.1109/TASE.2025.3585016
38. A Comprehensive Review of Machine Learning Models for Optimizing Wind Power Processes C. Rosca & A. Stancu https://doi.org/10.3390/app15073758
39. Multi-Objective Performance Enhancement of Offshore Wind Turbines Through Planning Controller Parameter: A ‘Plan-Control’ Hierarchical Controller S. Zheng et al. https://doi.org/10.1109/TSTE.2024.3509932
40. Deformed-configuration-based multi-axial moment matching and structural analysis of flexible offshore wind turbine blades under extreme load envelopes B. Wang et al. https://doi.org/10.1016/j.oceaneng.2026.125731
41. Enabling self calibration for the wind turbine digital twin: a blending-function learning algorithm Y. Liu et al. https://doi.org/10.1088/1742-6596/2767/3/032035
42. Accuracy assessment of Beddoes-Leishman and IAG dynamic stall models for wind turbine applications O. Mohamed et al. https://doi.org/10.1088/1742-6596/2767/5/052053
43. TPDNet: A point cloud data denoising method for offshore drilling platforms and its application C. Ran et al. https://doi.org/10.1016/j.measurement.2024.115671
44. A Data-Driven Evaluation Method for Tunnel Rock Stability Based on Multi-Core Support Vector Regression Y. Liu et al. https://doi.org/10.1142/S0218126625501920
45. Multi-rotor wind turbines: A review of modern research efforts and challenges A. Sheik Hassan et al. https://doi.org/10.1016/j.rser.2025.116252
46. Numerical study of the induced flow disturbances on the aerodynamic performance of NACA 65–421 airfoil O. Badran et al. https://doi.org/10.1016/j.euromechflu.2026.204545
47. Data assimilation of generic boundary layer flows for wind turbine applications – an LES study L. Wrba et al. https://doi.org/10.5194/wes-10-2217-2025
48. A comprehensive review of topology optimization for wind turbine structural components: methods, applications, and experimental validations S. Vetal et al. https://doi.org/10.1016/j.nexres.2025.100967
49. Fluid-structure interaction analysis of lightweight large wind turbine blades based on internal rib configuration H. Shou et al. https://doi.org/10.1016/j.egyr.2026.109398
50. Life cycle external cost assessment of an onshore wind farm in South Africa H. Auwal Ibrahim & G. Thopil https://doi.org/10.1016/j.apenergy.2025.125708
51. Critical overview of vertical-axis wind turbine blades: design, simulation, and manufacturing M. Feyzi & A. Zanj https://doi.org/10.1007/s00170-025-16720-3
52. The Beddoes-Leishman dynamic stall model: Critical aspects in implementation and calibration P. Melani et al. https://doi.org/10.1016/j.rser.2024.114677
53. Nonlinear dynamic response of long flexible wind turbine blades based on intrinsic geometrically exact theory Z. Wang et al. https://doi.org/10.1016/j.energy.2025.138791
54. Advancing Wind Energy Efficiency: A Systematic Review of Aerodynamic Optimization in Wind Turbine Blade Design A. Firoozi et al. https://doi.org/10.3390/en17122919
55. DLC-Organized Tower Base Forces and Moments for the IEA-15 MW on a Jack-up-Type Support (K-Wind): Integrated Analyses and Cross-Code Verification J. Sung et al. https://doi.org/10.3390/jmse13112077
56. Control-Oriented Data-Driven Modelling of Wind Turbine Blade Dynamics Using ERA-OKID S. Panda et al. https://doi.org/10.1016/j.ifacol.2025.11.581
57. Numerical modelling and simulation analysis of wind blades: a critical review I. Alrowwad et al. https://doi.org/10.1093/ce/zkad078
58. Analyzing the Physical Mechanisms of Aerodynamic Damping in Wind Turbine Blade Vibrations via Numerical Simulation N. Yates et al. https://doi.org/10.3390/applmech7020028
59. Energy capture efficiency enhancement for PMVG based-wind turbine systems through yaw control using wind direction prediction A. Abdul Basheer et al. https://doi.org/10.1016/j.epsr.2025.111490
60. Efficient Algorithm Design for FM Digital Signal Processors: Challenges and Solutions O. Ayeoribe https://doi.org/10.2139/ssrn.5391697
61. An aerodynamic measurement system to improve the efficiency of wind turbine rotor blades J. Deparday et al. https://doi.org/10.1016/j.jweia.2026.106368
62. Non-proportionality analysis of multi-axial fatigue stress histories in trailing edge adhesive joints of wind turbine rotor blades C. Balzani & P. Noever Castelos https://doi.org/10.5194/wes-10-1249-2025
63. New method to characterize aerodynamic flow state around wind turbine blades D. Voisin et al. https://doi.org/10.5194/wes-11-1383-2026
64. Tuning the Actuator Line Method to Properly Modelling Tip Effects in Finite-Length Blades P. Melani et al. https://doi.org/10.1088/1742-6596/2767/5/052018
65. Deniz Üzeri Rüzgâr Enerjisi Bibliyometrik Analizi: Öncelikli Araştırma Alanları ve Gelişen Eğilimler E. Özkan Aksu & C. Gencer https://doi.org/10.2339/politeknik.1653494
66. Analyzing the impact of aeroelastic model fidelity on control co-design optimization of floating offshore wind turbines R. Behrens de Luna et al. https://doi.org/10.5194/wes-10-3045-2025
67. Six-component load reconstruction for offshore wind turbine blades considering deformation-induced additional moments B. Wang et al. https://doi.org/10.1016/j.oceaneng.2026.124531
68. Wind Turbine Rotor Design Using High-Fidelity Aerostructural Optimization M. Mangano et al. https://doi.org/10.2514/1.J064556
69. rlaNet: A Residual Convolution Nested Long-Short-Term Memory Model with an Attention Mechanism for Wind Turbine Fault Diagnosis R. Sun et al. https://doi.org/10.3390/math12223460
70. Comparative analysis of onshore, offshore, and floating wind turbines for renewable energy systems: A review M. Koondhar et al. https://doi.org/10.1016/j.oceaneng.2025.123243
71. Risks and Challenges of Oversized Transport in the Energy Industry D. Masłowski et al. https://doi.org/10.3390/en17246444
72. A review of ballistic impact behavior and multiscale simulation of composite laminates in wind turbine blades J. Liu et al. https://doi.org/10.1016/j.tws.2026.114856
73. Aerodynamic characterization of stalled Darrieus turbine via experiment and low–order modelling N. Aryan et al. https://doi.org/10.1088/1742-6596/3224/9/092012
74. How does turbulence affect wake development in floating wind turbines? Some insights from comparative large-eddy simulations and wind tunnel experiments L. Pagamonci et al. https://doi.org/10.5194/wes-10-1707-2025
75. Investigation of Structural Nonlinearity Effects on the Aeroelastic and Wake Characteristics of a 15 MW Wind Turbine Z. Chuang et al. https://doi.org/10.3390/jmse13010116
76. Structural Adhesive Bonding of Vacuum-Infused Acrylic-Based Thermoplastic Fibre-Reinforced Laminates N. Bohlmann et al. https://doi.org/10.3390/jcs10010006
77. 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
78. Aeroelastic analysis of a very large wind turbine in various atmospheric stability conditions N. Dangi et al. https://doi.org/10.1088/1742-6596/2767/5/052026
79. The effect of turbulent coherent structures in atmospheric flow on wind turbine loads N. Dangi et al. https://doi.org/10.1016/j.renene.2024.122248
80. Selecting the Best Permanent Magnet Synchronous Machine Design for Use in a Small Wind Turbine M. Lefik et al. https://doi.org/10.3390/electronics13101929
81. COFLEX: a novel set point optimiser and feedforward–feedback control scheme for large, flexible wind turbines G. Lazzerini et al. https://doi.org/10.5194/wes-10-1303-2025
82. An Adaptive Multi-Scale Framework for Ultra-Short-Term Wind Power Forecasting in Sustainable Grids R. Liu et al. https://doi.org/10.3390/su18084012
83. Offshore Horizons: HVDC Wind Farms-Exploring Techno-Economic Dimensions D. Singh et al. https://doi.org/10.1109/ACCESS.2025.3567624
84. Dynamics of bistable nonlinear energy sinks and their application in monopile offshore wind turbines J. Zhang et al. https://doi.org/10.1007/s10999-026-09872-x
85. A review of high-fidelity CFD-CSD analysis for very large and flexible offshore wind turbines P. Dey et al. https://doi.org/10.1088/1742-6596/3224/4/042027
86. Reductions in wind farm main bearing rating lives resulting from wake impingement J. Quick et al. https://doi.org/10.5194/wes-11-493-2026
87. A new physically based model for cumulative wakes and application to wind farms Z. Zhang et al. https://doi.org/10.1016/j.enconman.2026.121593
88. Review of Data-Driven Models in Wind Energy: Demonstration of Blade Twist Optimization Based on Aerodynamic Loads J. Roetzer et al. https://doi.org/10.3390/en17163897
89. Validating an advanced actuator-disk model on CFD simulations of fixed and moving wind turbines S. Xie et al. https://doi.org/10.1063/5.0321634
90. A critical insight into the most effective CFD settings to model atmospheric stability in wind energy applications R. Travaglini et al. https://doi.org/10.1088/1742-6596/2767/9/092031
91. Structural modeling and optimization design of 15MW semi-submersible floating wind turbine platform based on intelligent algorithms H. Bai et al. https://doi.org/10.1016/j.energy.2025.137947
92. Optimal Linear Feedback Control—OLFC Applied to a Small Turbine Operating in Region II L. Ferreira et al. https://doi.org/10.3390/en19051129
93. Multi-fidelity Bayesian Optimisation of Wind Farm Wake Steering using Wake Models and Large Eddy Simulations A. Mole & S. Laizet https://doi.org/10.1007/s10494-024-00629-0
94. 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
95. Wind turbine control co-design using dynamic system derivative function surrogate model (DFSM) based on OpenFAST linearization Y. Lee et al. https://doi.org/10.1016/j.apenergy.2025.126203
96. Time-varying aerodynamic damping of offshore wind turbines: An analytical formulation X. Li et al. https://doi.org/10.1016/j.enconman.2026.121591
97. Exploring the aeroelastic response of active flaps and optimal inflow-based control settings on a validated aeroelastic model of an 8MW prototype wind turbine T. Barlas et al. https://doi.org/10.1088/1742-6596/3224/4/042005
98. Aeroelastic code comparison using the IEA 22MW reference turbine W. Collier et al. https://doi.org/10.1088/1742-6596/2767/5/052042
99. Uncertainty optimization of the roller profile in offshore wind turbine bearings B. Hu et al. https://doi.org/10.1016/j.ress.2025.112104
100. Wind speed vertical extrapolation model validation under uncertainty J. Quick et al. https://doi.org/10.1016/j.renene.2024.122028
101. Load response of a 15 MW floating offshore wind turbine under wind-wave conditions using a fully coupled free-wake vortex model Z. Wang et al. https://doi.org/10.1016/j.oceaneng.2026.125823
102. Unified momentum model for rotor aerodynamics across operating regimes J. Liew et al. https://doi.org/10.1038/s41467-024-50756-5
103. Innovations in Wind Turbine Blade Engineering: Exploring Materials, Sustainability, and Market Dynamics A. Firoozi et al. https://doi.org/10.3390/su16198564
104. Improving wind speed availability of a six-beam Doppler lidar M. Manami et al. https://doi.org/10.5194/wes-11-585-2026
105. Thermophysical Effects on the Aerodynamic Efficiency of Combined Wind Turbine Blades K. Shaimerdenova et al. https://doi.org/10.1093/ptep/ptaf167
106. A sensitivity-based estimation method for investigating control co-design relevance J. Iori et al. https://doi.org/10.5194/wes-9-1289-2024
107. Reliability analysis of wind turbine gearboxes: past, progress and future prospects D. Meng et al. https://doi.org/10.1108/IJSI-08-2024-0129
108. A Physics-Guided Bayesian Neural Network for Sensor Fault Detection in Wind Turbines M. Khan et al. https://doi.org/10.1109/OJCS.2025.3577588
109. Effect of surge and sway combined motion on the dynamic stall of floating offshore wind turbine airfoils Y. Liu et al. https://doi.org/10.1063/5.0268530
110. Wake‐Aware Online Cluster Optimization for Flexible Wind Farm Yaw Control Q. Lu et al. https://doi.org/10.1049/ell2.70375
111. Combined numerical and experimental study of the FFA-W3-211 airfoil in dynamic conditions P. Melani et al. https://doi.org/10.1088/1742-6596/3224/4/042042
112. Development of a machine learning model for wind turbine fatigue and ultimate loads based on static loads T. Barlas et al. https://doi.org/10.1088/1742-6596/2767/5/052009
113. Offshore renewable energies: A review towards Floating Modular Energy Islands—Monitoring, Loads, Modelling and Control E. Marino et al. https://doi.org/10.1016/j.oceaneng.2024.119251
114. Hydro–Aero Coupling Analysis and Surge Motion Effects on Aerodynamic Performance in Floating Offshore Wind Turbines: A Review and Synthesis of Literature A. Aly & P. Crifasi https://doi.org/10.1061/PPSCFX.SCENG-1486
115. To what extent does RANS modeling impact the simulation of large-scale wind farms? A numerical assessment L. Pagamonci et al. https://doi.org/10.1088/1742-6596/3224/3/032056
116. Nacelle-based lidar measurements of wind farm turbulence and validation with a fleet of multicopter drones N. Wildmann et al. https://doi.org/10.1088/1742-6596/3224/2/022031
117. Individual pitch controller with static inverted decoupling for periodic blade load reduction on monopile offshore wind turbines M. Lara et al. https://doi.org/10.1016/j.oceaneng.2025.121608
118. Experimental and numerical comparison of aerodynamics for a wind turbine rotor model under turbulent inflow conditions M. Dumanoir et al. https://doi.org/10.1088/1742-6596/2767/2/022020
119. Wind farm power optimization using system identification Y. Zhu et al. https://doi.org/10.1016/j.compchemeng.2024.108877
120. Extreme wind design standards and tropical cyclone–resilient wind turbines: a review T. Wojahn & G. Xydis https://doi.org/10.1680/jener.25.00005
121. Impact of atmospheric turbulence on performance and loads of wind turbines: knowledge gaps and research challenges B. Kosović et al. https://doi.org/10.5194/wes-11-509-2026
122. Field validation of dynamic mechanical torque measurements using fiber-optic strain sensors for geared wind turbines U. Gutierrez-Santiago et al. https://doi.org/10.1007/s10010-025-00793-3
123. Novel modelling and analysis of storm Amy over the North Sea from a wind energy perspective A. Thorsen et al. https://doi.org/10.1088/1742-6596/3224/2/022042
124. Three-Dimensional Aerodynamics and Vortex-Shedding Characteristics of Wind Turbine Airfoils over 360-Degree Angles of Attack S. Bidadi et al. https://doi.org/10.3390/en17174328
125. Modelling unsteady hydrodynamic gust loading on tidal turbine blades A. Smyth et al. https://doi.org/10.1016/j.jfluidstructs.2025.104381
126. Turbulent wind thrust control to reduce pitch motion of floating wind platforms with improved rotor operation Y. Zhang et al. https://doi.org/10.1016/j.renene.2025.125074
127. Design and preliminary characterization of a scaled, two-bladed, downwind and teetering turbine H. Aktan et al. https://doi.org/10.1088/1742-6596/3224/5/052025
128. Data-Enabled Stochastic Iterative Shape Control for Assembly of Flexible Structures M. Safwat et al. https://doi.org/10.1115/1.4069530
129. Wind Turbine Stall‐Induced Aeroelastic Instability Mitigation Using Vortex Generators Q. Meng et al. https://doi.org/10.1002/we.70004
130. Electromagnetic Energy Generation Using Novel Generators for Bladeless Wind Turbines K. El-din et al. https://doi.org/10.1061/JAEEEZ.ASENG-6470
131. A Review of Numerical and Physical Methods for Analyzing the Coupled Hydro–Aero–Structural Dynamics of Floating Wind Turbine Systems M. Maali Amiri et al. https://doi.org/10.3390/jmse12030392
132. Assessment of idling wind turbine loads in conditions favoring tower vortex induced vibrations D. Vlastos et al. https://doi.org/10.1088/1742-6596/3224/4/042035
133. Application of optimal experimental design for identifying low-frequency hydrodynamic loads D. Stamenov et al. https://doi.org/10.1016/j.oceaneng.2025.122063
134. Emission-aware Optimization of Daily Maintenance Operations in Offshore Wind Farms Y. Liu et al. https://doi.org/10.1088/1742-6596/3224/6/062035
135. Wind Farm Power Maximisation via Wake Steering: A Gaussian Process‐Based Yaw‐Dependent Parameter Tuning Approach F. Gori et al. https://doi.org/10.1002/we.2953
136. A perspective on lessons learned and future needs for wind energy field campaigns N. Bodini et al. https://doi.org/10.1063/5.0252362
137. Experimental validation of a short-term damping estimation method for wind turbines in nonstationary operating conditions K. Ebbehøj et al. https://doi.org/10.5194/wes-9-1005-2024
138. An insight into the capability of the actuator line method to resolve tip vortices P. Melani et al. https://doi.org/10.5194/wes-9-601-2024
139. Experimental Study of Wind Veer Effects on Porous Disk Induction under Axial and Yawed Conditions H. Sun et al. https://doi.org/10.1088/1742-6596/3224/4/042008
140. Characterization of vortex-shedding regimes and lock-in response of a wind turbine airfoil with two high-fidelity simulation approaches R. Fernandez-Aldama et al. https://doi.org/10.5194/wes-10-17-2025
141. Sensitivity analysis of computational domain height for semi-infinite and finite-sized wind farms W. Chanprasert et al. https://doi.org/10.1088/1742-6596/3016/1/012052
142. Experimental and numerical assessment of steel and concrete composite curved panels (SCCCPs) for modular wind turbine tower J. Mohammadi Tekantappeh et al. https://doi.org/10.1016/j.tws.2026.114554
143. Aerodynamic Performance and Numerical Validation Study of a Scaled-Down and Full-Scale Wind Turbine Models Z. Mehmood et al. https://doi.org/10.3390/en17215449
144. Aeroelastic instabilities of the IEA 15 MW rotor during extreme yaw maneuvers L. Höning et al. https://doi.org/10.5194/wes-11-1531-2026
145. Deep Learning Approaches for Offshore Wind Turbine Load Prediction: A Comparative Study Using Simulation, Measurement, and Transfer Learning D. Liu et al. https://doi.org/10.1088/1742-6596/3131/1/012030
146. State-space modeling and predictive control of wind turbine blade dynamics using ERA-OKID S. Panda et al. https://doi.org/10.1016/j.renene.2026.125777
147. Development and verification of a discrete event simulation tool for high-fidelity modelling of offshore wind and solar farm decommissioning campaigns S. Mancini et al. https://doi.org/10.1088/1742-6596/2745/1/012010
148. Grand challenges of wind energy science – meeting the needs and services of the power system M. O'Malley et al. https://doi.org/10.5194/wes-9-2087-2024
149. A critical verification of beam and shell models of wind turbine blades E. Camarena & E. Anderson https://doi.org/10.1016/j.compstruct.2025.118999
150. Blade material influence on the performance of H-Darrieus vertical axis wind turbines: a review S. Biswas et al. https://doi.org/10.1007/s40430-025-06196-3
151. Lidar observations of turbulence for tall offshore wind turbines A. Patel et al. https://doi.org/10.1017/jfm.2025.11103
152. Evaluation of the Geometric Configuration of Horizontal Axis Wind Turbines Applied to a Packing House W. Okita & D. Lourençoni https://doi.org/10.1007/s13369-024-09571-9
153. Feature alignment LSTM for detecting anomalies in wind turbine main bearing temperature based on SCADA data B. Wang et al. https://doi.org/10.1016/j.jer.2025.05.011
154. A Decision-Support Framework for Opportunistic Tactical Scheduling of Offshore Wind Maintenance Campaigns L. Huang et al. https://doi.org/10.1088/1742-6596/3232/1/012014
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