Assessing built microclimate with building group frontal projection maps: A sun-path-dependent deep transfer learning neural network approach-Reference-Cited by-同舟云学术

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Assessing built microclimate with building group frontal projection maps: A sun-path-dependent deep transfer learning neural network approach

Published:2024-02 Issue: Volume:250 Page:111186
ISSN:0360-1323
Container-title:Building and Environment
language:en
Short-container-title:Building and Environment

Author:

Li Qi^ORCID,Wang Wei^ORCID,Luo Xiaowei,Chen Jiayu^ORCID

Funder

Tsinghua University

Publisher

Elsevier BV

Reference65 articles.

1. Low carbon transition of global building sector under 2- and 1.5-degree targets;Wang;Appl. Energy,2018

2. Experimental study on the vertical temperature and thermal stratification for subway station fire;Long;J. Intell. Constr.,2023

3. The impact of the building morphology on microclimate and thermal comfort-a case study in Beijing;Zhang;Build. Environ.,2022

4. Low carbon transition of global building sector under 2- and 1.5-degree targets;Wang;Appl. Energy,2018

5. The roles of surrounding 2D/3D landscapes in park cooling effect: analysis from extreme hot and normal weather perspectives;Han;Build. Environ.,2023

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