江苏大学主页平台管理系统王龙滟--中文主页-- Effectiveness of data-driven wind turbine wake models developed by machine/deep learning with spatial-segmentation technique

个人信息

王龙滟

学位：博士
性别：男
学历：博士研究生毕业
在职信息：在本单位任职
所在单位：流体机械工程技术研究中心

论文成果

当前位置: 中文主页 >> 科学研究 >> 论文成果

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

发布时间：2024-08-05 点击次数：

所属单位：30100
论文名称：Effectiveness of data-driven wind turbine wake models developed by machine/deep learning with spatial-segmentation technique
发表刊物：SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
ISSN号：2213-1388
是否译文：否

上一条：Study of New Mini-Channel Trans-Critical CO2 Heat Pump Gas Cooler

下一条：Effectiveness of data-driven wind turbine wake models developed by machine / deep learning with spatial-segmentation technique