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: The Utilisation of Small Wind Turbines in Built-Up Areas: Prospects and Challenges

中文标题: 小型风力涡轮机在建成区的利用：前景与挑战

文章链接：https://www.mdpi.com/2674-032X/3/4/24

MDPI引用格式: Alam, F.; Jin, Y. The Utilisation of Small Wind Turbines in Built-Up Areas: Prospects and Challenges. Wind 2023, 3, 418-438. https://doi.org/10.3390/wind3040024

2.

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

3.

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

4.

英文标题: Uncertainty Quantification and Simulation of Wind-Tunnel-Informed Stochastic Wind Loads

中文标题: 风洞随机风荷载的不确定性量化与模拟

文章链接：https://www.mdpi.com/2674-032X/3/3/22

MDPI引用格式: Duarte, T.G.A.; Arunachalam, S.; Subgranon, A.; Spence, S.M.J. Uncertainty Quantification and Simulation of Wind-Tunnel-Informed Stochastic Wind Loads. Wind 2023, 3, 375-393. https://doi.org/10.3390/wind3030022

5.

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

6.

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

7.

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

8.

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

9.

英文标题: Green Hydrogen Driven by Wind and Solar—An Australian Case Study

中文标题: 由风能和太阳能驱动的绿色氢气——澳大利亚案例研究

文章链接：https://www.mdpi.com/2674-032X/4/2/6

MDPI引用格式: Currie, G.; Behrens, E.; Bolitho, S.; Coen, M.; Wilson, T. Green Hydrogen Driven by Wind and Solar—An Australian Case Study. Wind 2024, 4, 111-134. https://doi.org/10.3390/wind4020006

10.

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