期刊名：Wind

期刊主页: https://www.mdpi.com/journal/wind

Wind期刊发布2023-2024年度高被引论文Top10榜单，收录该年度各领域最具学术价值的研究成果，供研究者参考。

1.

英文标题: A Survey of Numerical Simulation Tools for Offshore Wind Turbine Systems

中文标题: 海上风力发电系统数值模拟工具综述

文章链接：https://www.mdpi.com/2674-032X/4/1/1

MDPI引用格式: Fadaei, S.; Afagh, F.F.; Langlois, R.G. A Survey of Numerical Simulation Tools for Offshore Wind Turbine Systems. Wind 2024, 4, 1-24. https://doi.org/10.3390/wind4010001

2.

英文标题: Scaling Challenges for Conical Plain Bearings as Wind Turbine Main Bearings

中文标题: 风力涡轮机主轴承——锥形平面轴承的尺寸匹配难题

文章链接：https://www.mdpi.com/2674-032X/3/4/27

MDPI引用格式: Euler, J.; Jacobs, G.; Loriemi, A.; Jakobs, T.; Rolink, A.; Röder, J. Scaling Challenges for Conical Plain Bearings as Wind Turbine Main Bearings. Wind 2023, 3, 485-495. https://doi.org/10.3390/wind3040027

3.

英文标题: An Ensemble Approach to Short-Term Wind Speed Predictions Using Stochastic Methods, Wavelets and Gradient Boosting Decision Trees

中文标题: 一种结合随机方法、小波分析和梯度提升决策树的短期风速预测集成方法

文章链接：https://www.mdpi.com/2674-032X/4/1/3

MDPI引用格式: Sivhugwana, K.S.; Ranganai, E. An Ensemble Approach to Short-Term Wind Speed Predictions Using Stochastic Methods, Wavelets and Gradient Boosting Decision Trees. Wind 2024, 4, 44-67. https://doi.org/10.3390/wind4010003

4.

英文标题: Responses of a Modular Floating Wind TLP of MarsVAWT Supporting a 10 MW Vertical Axis Wind Turbine

中文标题: 模块化浮式TLP平台MarsVAWT支撑10MW垂直轴风力机时的动态响应分析

文章链接：https://www.mdpi.com/2674-032X/3/4/29

MDPI引用格式: Boo, S.Y.; Shelley, S.A.; Griffith, D.T.; Escalera Mendoza, A.S. Responses of a Modular Floating Wind TLP of MarsVAWT Supporting a 10 MW Vertical Axis Wind Turbine. Wind 2023, 3, 513-544. https://doi.org/10.3390/wind3040029

5.

英文标题: Influence of the Blunt Trailing-Edge Thickness on the Aerodynamic Characteristics of the Very Thick Airfoil

中文标题: 钝形后缘厚度对超厚翼型气动特性的影响

文章链接：https://www.mdpi.com/2674-032X/3/4/25

MDPI引用格式: Pei, Z.; Xu, H.-Y.; Deng, L.; Li, L.-X. Influence of the Blunt Trailing-Edge Thickness on the Aerodynamic Characteristics of the Very Thick Airfoil. Wind 2023, 3, 439-458. https://doi.org/10.3390/wind3040025

6.

英文标题: High-Resolution Wind Speed Estimates for the Eastern Mediterranean Basin: A Statistical Comparison Against Coastal Meteorological Observations

中文标题: 东地中海盆地高分辨率风速估算：与沿海气象观测数据的统计比较

文章链接：https://www.mdpi.com/2674-032X/4/4/16

MDPI引用格式: Hadjipetrou, S.; Kyriakidis, P. High-Resolution Wind Speed Estimates for the Eastern Mediterranean Basin: A Statistical Comparison Against Coastal Meteorological Observations. Wind 2024, 4, 311-341. https://doi.org/10.3390/wind4040016

7.

英文标题: Modal Analysis of 15 MW Semi-Submersible Floating Wind Turbine: Investigation on the Main Influences in Natural Vibration

中文标题: 15 兆瓦半潜式浮式风力涡轮机的模态分析: 对固有振动主要影响因素的研究

文章链接: https://www.mdpi.com/2674-032X/3/4/31

MDPI引用格式: Harger, A.; Carmo, L.H.S.; Gay Neto, A.; Simos, A.N.; Franzini, G.R.; Vieira, G.H.R. Modal Analysis of 15 MW Semi-Submersible Floating Wind Turbine: Investigation on the Main Influences in Natural Vibration. Wind 2023, 3, 548-566. https://doi.org/10.3390/wind3040031

8.

英文标题:Ten-Year Analysis of Mediterranean Coastal Wind Profiles Using Remote Sensing and In Situ Measurements

中文标题:利用遥感和现场测量对地中海沿岸风速分布的十年分析

文章链接: https://www.mdpi.com/2674-032X/5/2/9

MDPI引用格式: Calidonna, C.R.; Dutta, A.; D’Amico, F.; Malacaria, L.; Sinopoli, S.; De Benedetto, G.; Gullì, D.; Ammoscato, I.; De Pino, M.; Lo Feudo, T. Ten-Year Analysis of Mediterranean Coastal Wind Profiles Using Remote Sensing and In Situ Measurements. Wind 2025, 5, 9. https://doi.org/10.3390/wind5020009

9.

英文标题: Maximizing Wind Turbine Power Generation Through Adaptive Fuzzy Logic Control for Optimal Efficiency and Performance

中文标题: 通过自适应模糊逻辑控制实现风力涡轮机功率的最大化，以达到最佳效率和性能水平

文章链接: https://www.mdpi.com/2674-032X/5/1/4

MDPI引用格式: Aranizadeh, A.; Mirmozaffari, M.; Khalatabadi Farahani, B. Maximizing Wind Turbine Power Generation Through Adaptive Fuzzy Logic Control for Optimal Efficiency and Performance. Wind 2025, 5, 4. https://doi.org/10.3390/wind5010004

10.

英文标题: Wind Power Forecasting in a Semi-Arid Region Based on Machine Learning Error Correction

中文标题: 基于机器学习误差校正的半干旱区风电预测

文章链接：https://www.mdpi.com/2674-032X/3/4/28

MDPI引用格式: Araujo, M.L.S.; Kitagawa, Y.K.L.; Weyll, A.L.C.; Lima, F.J.L.d.; Santos, T.S.d.; Jacondino, W.D.; Silva, A.R.; Filho, M.d.C.; Bezerra, W.R.P.; Melo Filho, J.B.d.; et al. Wind Power Forecasting in a Semi-Arid Region Based on Machine Learning Error Correction. Wind 2023, 3, 496-512. https://doi.org/10.3390/wind3040028