Cohort comfort models - Using occupants' similarity to predict personal thermal preference with less data
@article{Quintana2022CohortCM, title={Cohort comfort models - Using occupants' similarity to predict personal thermal preference with less data}, author={Matias Quintana and S. Schiavon and Federico Tartarini and Joyce Kim and Clayton Miller}, journal={ArXiv}, year={2022}, volume={abs/2208.03078} }
2 Citations
Personal comfort models based on a 6‐month experiment using environmental parameters and data from wearables
- EngineeringIndoor air
- 2022
Abstract Personal thermal comfort models are a paradigm shift in predicting how building occupants perceive their thermal environment. Previous work has critical limitations related to the length of…
Analysis of predicted mean vote-based model predictive control for residential HVAC systems
- EngineeringBuilding and Environment
- 2022
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