articleTop 1% cited
Personal comfort models: Predicting individuals' thermal preference using occupant heating and cooling behavior and machine learning
Building and Environment · 2017 · Vol. 129 · pp. 96–106
Joyce Kim✉(University of California, Berkeley)Yuxun Zhou(University of California, Berkeley)Stefano Schiavon(University of California, Berkeley)Paul Raftery(University of California, Berkeley)Gail Brager(University of California, Berkeley)
Building Energy and Comfort OptimizationUrban Heat Island MitigationWind and Air Flow StudiesThermal comfortPreferenceSimulationField (mathematics)Computer sciencePopulationEngineeringStatisticsMathematicsGeography
Funding
- National Oceanic and Atmospheric Administration
Citations
442
FWCI
32.54
field-weighted impact
References
77
Percentile
100%
vs. same field & year
Citations per year
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References
Interactions with window openings by office occupants
Building and Environment · 2009 · 447 citations
Adaptive thermal comfort and sustainable thermal standards for buildings
Energy and Buildings · 2002 · 1,761 citations
Regularization and Variable Selection Via the Elastic Net
Journal of the Royal Statistical Society Series B (Statistical Methodology) · 2005 · 20,431 citations
Extending air temperature setpoints: Simulated energy savings and design considerations for new and retrofit buildings
Building and Environment · 2014 · 581 citations
The meaning and use of the area under a receiver operating characteristic (ROC) curve.
Radiology · 1982 · 21,496 citations
A review on buildings energy consumption information
Energy and Buildings · 2007 · 6,392 citations
Thermal Environmental Conditions for Human Occupancy
Medical Entomology and Zoology · 1992 · 6,141 citations
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