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

dc.contributor.authorLi, Jiangbo
dc.contributor.authorWang, Yixian
dc.contributor.authorZhai, Zhihong
dc.contributor.authorLi, Haiyan
dc.contributor.authorDing, Yunfei
dc.date.accessioned2026-08-20T21:27:03Z
dc.date.available2026-08-20T21:27:03Z
dc.date.copyright2025/11/21
dc.date.issued2026
dc.identifier.otherJCCEE5.CPENG-7033.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314472
dc.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 ...
dc.publisherAmerican Society of Civil Engineers
dc.titleRapid Prediction of Regional Thermal Environment Parameters: A Method Based on Numerical Solution and Machine Learning Extension
dc.typeJournal Article
dc.journal.volume40
dc.journal.issue2
dc.journal.titleJournal of Computing in Civil Engineering
dc.identifier.doi10.1061/JCCEE5.CPENG-7033
dc.journal.fristpage04025144-1
dc.journal.lastpage04025144-14
dc.page14
dc.treeJournal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 002
dc.contenttypeFulltext


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