Effectiveness of data-driven wind turbine wake models developed by machine/deep learning with spatial-segmentation technique

被引：0

作者：

Wang, Longyan ^{[1
,2
]}

Xie, Junhang ^{[1
]}

Luo, Wei ^{[1
]}

Wang, Zilu ^{[1
]}

Zhang, Bowen ^{[1
]}

Chen, Meng ^{[1
]}

Tan, Andy C.C. ^{[3
]}

机构：

[1] Research Center of Fluid Machinery Engineering and Technology, Jiangsu University, Jiangsu Province, Zhenjiang,212013, China

[2] School of Chemistry, Physics and Mechanical Engineering, Queensland University of Technology, Brisbane City,QLD,4001, Australia

[3] LKC Faculty of Engineering & Science, Universiti Tunku Abdul Rahman, Bandar Sungai Long, Cheras, Kajang,Selangor,43000, Malaysia

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摘要：

Convolutional neural networks - Errors - Flow fields - Forecasting - Learning algorithms - Turbulence - Velocity - Wakes - Wind turbines

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