Preliminary Research on Outdoor Thermal Comfort Evaluation in Severe Cold Regions by Machine Learning

Preliminary Research on Outdoor Thermal Comfort Evaluation in Severe Cold Regions by Machine Learning

The thermal comfort evaluation of the urban environment arouses widespread concern among scholars, and research in this field is mostly based on thermal comfort evaluation indexes such as PMV, PET, SET, UTCI, etc. These thermal comfort index evaluation models are complex in the calculation process a...

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Bibliographic Details
Main Authors: Tianyu Xi, Ming Wang, Enjia Cao, Jin Li, Yong Wang, Salanke Umar Sa’ad
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Buildings
Subjects:
outdoor thermal comfort evaluation
outdoor thermal environment
machine learning
thermal comfort prediction model
severe cold region
Online Access:https://www.mdpi.com/2075-5309/14/1/284

Internet

https://www.mdpi.com/2075-5309/14/1/284

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