most citedQuantifying Key Design Factors for Thermal Comfort in Underground Space Through Global Sensitivity Analysis and Machine Learning

4 citations · 4 across the 1 of their papers we have counts for

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1 paper

physics.app-ph2025★ 4 cited

Quantifying Key Design Factors for Thermal Comfort in Underground Space Through Global Sensitivity Analysis and Machine Learning

Shisheng Chen, Nyuk Hien Wong, Chao Cen +6

This study identified the key design factors related to thermal comfort in naturally ventilated underground spaces under high temperature conditions (outdoor Tmax = 42.9 C) in Fuzh…