Pedestrian wind flow prediction using spatial-frequency generative adversarial network

IF 6.1 1区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Building Simulation Pub Date : 2023-10-21 DOI:10.1007/s12273-023-1071-8

Pengyue Wang, Maozu Guo, Yingeng Cao, Shimeng Hao, Xiaoping Zhou, Lingling Zhao

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基于空频生成对抗网络的行人风流预测

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来源期刊

Building Simulation THERMODYNAMICS-CONSTRUCTION & BUILDING TECHNOLOGY

CiteScore

10.20

自引率

16.40%

发文量

审稿时长

>12 weeks

期刊介绍： Building Simulation: An International Journal publishes original, high quality, peer-reviewed research papers and review articles dealing with modeling and simulation of buildings including their systems. The goal is to promote the field of building science and technology to such a level that modeling will eventually be used in every aspect of building construction as a routine instead of an exception. Of particular interest are papers that reflect recent developments and applications of modeling tools and their impact on advances of building science and technology.

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