83 citations as recorded by crossref.

1. Simplified model for helical vortex dynamics in the wake of an asymmetric rotor A. Abraham et al. https://doi.org/10.1017/flo.2022.33
2. The wide range of factors contributing to wind resource assessment accuracy in complex terrain S. Barber et al. https://doi.org/10.5194/wes-7-1503-2022
3. Wind Energy Supply Profiling and Offshore Potential in South Africa S. Karamanski & G. Erfort https://doi.org/10.3390/en16093668
4. Experimental investigation of an enhancement system to improve wind turbines power generation A. Alkhalidi et al. https://doi.org/10.1016/j.ijft.2025.101505
5. Assessing the feasibility of electrifying container ships for sustainable maritime transport R. Babaei et al. https://doi.org/10.1016/j.nexres.2025.101249
6. Numerical investigation of rotor asymmetry to promote wake recovery A. Abraham et al. https://doi.org/10.1088/1742-6596/2505/1/012032
7. Wind power estimation on local scale—A case study of representativeness of reanalysis data and data-driven analysis I. Schicker et al. https://doi.org/10.3389/fclim.2023.1017774
8. Bayesian uncertainty quantification of engineering models for wind farm–atmosphere interaction F. Aerts et al. https://doi.org/10.5194/wes-11-1205-2026
9. A Complete CFD Methodology Based on Iterative Model Adjustment to Improve Wind Simulation Accuracy in Highly Dense Forest Area E. Leonard et al. https://doi.org/10.3390/en19092243
10. Evaluating wind speed and power forecasts for wind energy applications using an open-source and systematic validation framework J. Lee et al. https://doi.org/10.1016/j.renene.2022.09.111
11. Assessing renewable wind and solar energy yield with gridded climate datasets P. Drobinski https://doi.org/10.1038/s44168-025-00332-4
12. Numerical investigation of the vortical structures in the near wake of a model wind turbine T. Weislein et al. https://doi.org/10.1088/1742-6596/2767/2/022008
13. Characterization of local wind profiles: a random forest approach for enhanced wind profile extrapolation F. Rouholahnejad & J. Gottschall https://doi.org/10.5194/wes-10-143-2025
14. A perspective on lessons learned and future needs for wind energy field campaigns N. Bodini et al. https://doi.org/10.1063/5.0252362
15. Exploring cooperation between wind farms: a wake steering optimization study of the Belgian offshore wind farm cluster B. Foloppe et al. https://doi.org/10.1088/1742-6596/2505/1/012055
16. Offshore Wind Farm Economic Evaluation Under Uncertainty and Market Risk Mitigation A. Caputo et al. https://doi.org/10.3390/en18092362
17. Wind Reference Year: A New Approach R. Lázaro et al. https://doi.org/10.3390/app152413147
18. Assessment of Onshore and Offshore Wind Energy Potential in the Eastern Baltic Sea Region: LCOE and Wind Turbine Layout Optimisation S. Orlova et al. https://doi.org/10.3390/en19061448
19. Validation of European wind generation time series simulation: Importance of wakes, micro-scale adjustments and stochastic simulations S. Nayak et al. https://doi.org/10.1016/j.apenergy.2025.126882
20. Robust optimal design of hybrid renewable energy systems for constant green hydrogen supply E. Corbean et al. https://doi.org/10.1016/j.enconman.2025.120924
21. A three-dimensional, analytical wind turbine wake model: Flow acceleration, empirical correlations, and continuity Z. Sadek et al. https://doi.org/10.1016/j.renene.2023.03.129
22. Preliminary Techno-Economic Analysis of Wind Power Plant Development in Central Java S. Alokabel & M. Setiawan https://doi.org/10.1051/e3sconf/202668701001
23. Materials and systems for polymer-based Metallocene batteries: Status and challenges S. Beladi-Mousavi & L. Walder https://doi.org/10.1016/j.polymer.2022.124658
24. Exploring the Interdependence of Vertical Extrapolation Uncertainties in Repowering Wind Farms P. Mazoyer et al. https://doi.org/10.1088/1742-6596/2767/9/092009
25. Can mesoscale models capture the effect from cluster wakes offshore? M. Gomez et al. https://doi.org/10.1088/1742-6596/2767/6/062013
26. Evaluating the impact of inter-annual variability on long-term wind speed predictions J. Borowski et al. https://doi.org/10.5194/wes-11-661-2026
27. A Support Process for Early-Stage Wind Farm Repowering Decisions Using Constrained Optimization Techniques to Address Uncertainty H. Norton et al. https://doi.org/10.3390/wind6020017
28. Prediction of hourly wind speed time series at unsampled locations using machine learning F. Houndekindo & T. Ouarda https://doi.org/10.1016/j.energy.2024.131518
29. Optimization and control strategy for wind turbine aerodynamic performance under uncertainties H. Tian et al. https://doi.org/10.1063/5.0167442
30. Sensitivity of multiscale large Eddy simulations for wind power calculations in complex terrain G. De Moliner et al. https://doi.org/10.1016/j.apenergy.2024.123195
31. Overview of recent observations and simulations from the American WAKE experimeNt (AWAKEN) field campaign P. Moriarty et al. https://doi.org/10.1088/1742-6596/2505/1/012049
32. Seasonal variability of wake impacts on US mid-Atlantic offshore wind plant power production D. Rosencrans et al. https://doi.org/10.5194/wes-9-555-2024
33. Assessment of the theoretical potential of onshore wind power plants in Poland in the context of the required distance from residential buildings S. Pelczar https://doi.org/10.1016/j.seta.2025.104250
34. Overestimation of the recent observed near-surface wind speed recovery in China Y. Yan et al. https://doi.org/10.1038/s41612-026-01322-x
35. Overview of preparation for the American WAKE ExperimeNt (AWAKEN) P. Moriarty et al. https://doi.org/10.1063/5.0141683
36. Predictive digital twin for wind energy systems: a literature review E. Kandemir et al. https://doi.org/10.1186/s42162-024-00373-9
37. Modular deep learning approach for wind farm power forecasting and wake loss prediction S. Ally et al. https://doi.org/10.5194/wes-10-779-2025
38. Evaluation of the potential for wake steering for U.S. land-based wind power plants D. Bensason et al. https://doi.org/10.1063/5.0039325
39. Levelized cost analysis in fixed-bottom offshore wind farms in the Colombian Caribbean J. Illidge-Araujo et al. https://doi.org/10.17533/udea.redin.20251190
40. Transforming point forecasts into probabilistic wind power scenarios using a hierarchical Bayesian model S. Anaya et al. https://doi.org/10.1016/j.spasta.2026.100999
41. Sustainable pathways for hydrogen Production: Metrics, Trends, and strategies for a Zero-Carbon future A. Ibrahim Idriss et al. https://doi.org/10.1016/j.seta.2024.104124
42. Power Generation by Offshore Wind Turbines: An Overview on Recent Research and Developments S. Basack et al. https://doi.org/10.37394/232016.2021.16.26
43. How do convective cold pools influence the atmospheric boundary layer near two wind turbines in northern Germany? J. Thayer et al. https://doi.org/10.5194/wes-10-2237-2025
44. 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
45. The sensitivity of the Fitch wind farm parameterization to a three-dimensional planetary boundary layer scheme A. Rybchuk et al. https://doi.org/10.5194/wes-7-2085-2022
46. Experimental investigation of blade tip vortex behavior in the wake of asymmetric rotors A. Abraham & T. Leweke https://doi.org/10.1007/s00348-023-03646-3
47. Blade-resolved and actuator line simulations of rotor wakes A. Ribeiro et al. https://doi.org/10.1016/j.compfluid.2024.106477
48. A New Decision Process for Choosing the Wind Resource Assessment Workflow with the Best Compromise between Accuracy and Costs for a Given Project in Complex Terrain S. Barber et al. https://doi.org/10.3390/en15031110
49. Characterization of wind turbine flow through nacelle-mounted lidars: a review S. Letizia et al. https://doi.org/10.3389/fmech.2023.1261017
50. Loss Factors for Small Distributed Wind Turbines Based on Field Data in the United States https://doi.org/10.20900/jsr20260002
51. Multi-fidelity vortex simulations of rotor flows: Validation against detailed wake measurements N. Ramos-García et al. https://doi.org/10.1016/j.compfluid.2023.105790
52. Biases in preconstruction estimates of wind plant annual energy production R. Hammond & E. Simley https://doi.org/10.5194/wes-11-1251-2026
53. Investigating the physical mechanisms that modify wind plant blockage in stable boundary layers M. Sanchez Gomez et al. https://doi.org/10.5194/wes-8-1049-2023
54. Temperature profiling at the American WAKE ExperimeNt (AWAKEN): methodology and uncertainty quantification S. Letizia et al. https://doi.org/10.5194/wes-11-1653-2026
55. Analysis of the systematic errors of energy yield assessment in the context of wind farm repowering P. Mazoyer et al. https://doi.org/10.1088/1742-6596/2507/1/012016
56. Evaluation and Comparison of Different Methods for Improving Fault Ride-Through Capability in Grid-Tied Permanent Magnet Synchronous Wind Generators M. Mahmoud et al. https://doi.org/10.1155/2023/7717070
57. Machine learning-based estimation of icing losses in wind farms: Applications in pre-construction energy yield assessment S. Stefanov et al. https://doi.org/10.1016/j.egyai.2026.100750
58. Machine learning for predicting offshore vertical wind profiles F. Rouholahnejad et al. https://doi.org/10.1088/1742-6596/2626/1/012023
59. Effect of pitch on nonlinear dynamics of helical vortex disturbed by long-wave instability Y. Hattori & A. Hirano https://doi.org/10.1017/jfm.2024.529
60. Spatio-temporal prediction of wind power production-based on empirical data in Great Britain from 2021 to 2023 Y. Huang https://doi.org/10.1016/j.ijepes.2026.111749
61. Uncertainty in North Sea offshore wind power: contributions of reanalysis forcing, turbine type, and wake parameterization A. Elizalde et al. https://doi.org/10.5194/wes-11-1077-2026
62. Uncovering wind power forecasting uncertainty sources and their propagation through the whole modelling chain J. Yan et al. https://doi.org/10.1016/j.rser.2022.112519
63. Wind power production from very large offshore wind farms S. Pryor et al. https://doi.org/10.1016/j.joule.2021.09.002
64. The wind farm as a sensor: learning and explaining orographic and plant-induced flow heterogeneities from operational data R. Braunbehrens et al. https://doi.org/10.5194/wes-8-691-2023
65. Wind-based microgrids: A business analysis and their role in mitigating grid congestion M. Cope & G. Xydis https://doi.org/10.1080/15567249.2024.2448278
66. Offshore wind power system economic evaluation framework under aleatory and epistemic uncertainty A. Caputo et al. https://doi.org/10.1016/j.apenergy.2023.121585
67. High-resolution subseasonal-to-seasonal prediction of near-surface wind speed over China using a global-stretched grid downscaling system: added value to the IAP-CAS ensemble prediction system Y. Tang et al. https://doi.org/10.3389/fclim.2026.1829256
68. A Dependability Neural Network Approach for Short-Term Production Estimation of a Wind Power Plant F. Famoso et al. https://doi.org/10.3390/en17071627
69. Balancing cost-efficiency and sustainability in offshore hybrid renewable energy systems: A case study of Palau River M. Terkes et al. https://doi.org/10.1016/j.egyr.2025.06.053
70. Techno-economic optimization and scenario-based assessment of a high-renewable PV–wind–hydro hybrid energy system with long-duration storage S. Zamir Fatemi et al. https://doi.org/10.1016/j.ecmx.2026.101913
71. Uncertainty Quantification for an Automatised RANS-Based Wind Resource Assessment Approach S. Remmler et al. https://doi.org/10.1088/1742-6596/2767/9/092007
72. A novel circle-packing NLP model for offshore wind farm layout and cable optimization A. Negrete-Romero et al. https://doi.org/10.1016/j.compchemeng.2025.109346
73. 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. https://doi.org/10.5194/wes-9-2235-2024
74. Meta model approach for real time and short-term forecasting of wind turbine power generation with interactive 24 h dashboard G. Chauhan et al. https://doi.org/10.1088/2631-8695/add64b
75. Evaluating Wind Speed and Power Forecasts for Wind Energy Applications Using an Open-Source and Systematic Validation Framework J. Lee et al. https://doi.org/10.2139/ssrn.4064500
76. Using Observed and Modelled Heat Fluxes for Improved Extrapolation of Wind Distributions R. Floors et al. https://doi.org/10.1007/s10546-023-00803-3
77. Accounting for Instrument Tilt to Improve Doppler Lidar-Based Boundary-Layer Wind Estimates M. Moeini & D. Romanic https://doi.org/10.1007/s10546-026-00966-9
78. Characterization of atmospheric coherent structures and their impact on a utility-scale wind turbine A. Abraham & J. Hong https://doi.org/10.1017/flo.2021.20
79. Fully Automated Wind Site Assessment in Complex Terrain Using Satellite Data and Global Circulation Models A. Horvath et al. https://doi.org/10.3390/rs18091403
80. Beyond the First Generation of Wind Modeling for Resource Assessment and Siting: From Meteorology to Uncertainty Quantification M. Kelly https://doi.org/10.3390/en18071589
81. Grand challenges in the design, manufacture, and operation of future wind turbine systems P. Veers et al. https://doi.org/10.5194/wes-8-1071-2023
82. Wind farm power optimization using system identification Y. Zhu et al. https://doi.org/10.1016/j.compchemeng.2024.108877
83. Adaptive hybrid energy system for remote Canadian communities: Optimizing wind-diesel systems integrated with adiabatic compressed air energy storage S. Sarmast et al. https://doi.org/10.1016/j.enconman.2024.118778