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    Rapid Prediction of Regional Thermal Environment Parameters: A Method Based on Numerical Solution and Machine Learning Extension

    Source: Journal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 002::page 04025144-1
    Author:
    Li, Jiangbo
    ,
    Wang, Yixian
    ,
    Zhai, Zhihong
    ,
    Li, Haiyan
    ,
    Ding, Yunfei
    DOI: 10.1061/JCCEE5.CPENG-7033
    Publisher: American Society of Civil Engineers
    Abstract: AbstractOutdoor microclimate is critical in assessing thermal comfort and building energy efficiency. However, traditional numerical simulations are limited by low computational efficiency due to their large model scales and complex heat-mass exchange ...
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      Rapid Prediction of Regional Thermal Environment Parameters: A Method Based on Numerical Solution and Machine Learning Extension

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/4314472
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    contributor authorLi, Jiangbo
    contributor authorWang, Yixian
    contributor authorZhai, Zhihong
    contributor authorLi, Haiyan
    contributor authorDing, Yunfei
    date accessioned2026-08-20T21:27:03Z
    date available2026-08-20T21:27:03Z
    date copyright2025/11/21
    date issued2026
    identifier otherJCCEE5.CPENG-7033.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314472
    description abstractAbstractOutdoor microclimate is critical in assessing thermal comfort and building energy efficiency. However, traditional numerical simulations are limited by low computational efficiency due to their large model scales and complex heat-mass exchange ...
    publisherAmerican Society of Civil Engineers
    titleRapid Prediction of Regional Thermal Environment Parameters: A Method Based on Numerical Solution and Machine Learning Extension
    typeJournal Article
    journal volume40
    journal issue2
    journal titleJournal of Computing in Civil Engineering
    identifier doi10.1061/JCCEE5.CPENG-7033
    journal fristpage04025144-1
    journal lastpage04025144-14
    page14
    treeJournal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 002
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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