Data-driven thermal comfort modeling: Comparing AI-based predictions with PMV-PPD model
Accurate thermal comfort modeling is essential for optimizing energy-efficient, occupant-centric indoor environments. While widely used, traditional models such as Predicted Mean Vote (PMV) and Predicted Percentage Dissatisfied (PPD) often fail to capture individual variability in thermal perception...
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