Machine learning-based prediction of outdoor thermal comfort: Combining Bayesian optimization and the SHAP model-Reference-Cited by-同舟云学术

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Machine learning-based prediction of outdoor thermal comfort: Combining Bayesian optimization and the SHAP model

Published:2024-04 Issue: Volume:254 Page:111301
ISSN:0360-1323
Container-title:Building and Environment
language:en
Short-container-title:Building and Environment

Author:

Guo Ruiqi,Yang Bin,Guo Yuyao,Li He,Li Zhe^ORCID,Zhou Bin,Hong Bo,Wang Faming^ORCID

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference109 articles.

1. World Cities Report 2022: Envisaging the Future of Cities;Habitat,2022

2. Urban open space in the 21st century;Thompson;Landsc. Urban Plann.,2002

3. Urban Open Spaces;Woolley,2003

4. Quantification of the effect of thermal indices and sky view factor on park attendance;Lin;Landsc. Urban Plann.,2012

5. Quantification of the Influence of Thermal Comfort and Life Patterns on Outdoor Space Activities, Building Simulation;Lai,2020

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Generative design of walkable urban cool spots using a novel heuristic GAN×GAN approach;Building and Environment;2024-12

2. Application of Statistical Learning Algorithms in Thermal Stress Assessment in Comparison with the Expert Judgment Inherent to the Universal Thermal Climate Index (UTCI);Atmosphere;2024-06-12

3. Conformal Microwave Sensor for Enhanced Driving Posture Monitoring and Thermal Comfort in Automotive Sector;IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology;2024

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