Cohort comfort models — Using occupant’s similarity to predict personal thermal preference with less data
نویسندگان
چکیده
Cohort Comfort Models (CCM) are introduced as a technique for creating personalized thermal prediction new building occupant without the need to collect large amounts of individual comfort-related data. This approach leverages historical data collected from sample population, who have some underlying preference similarity occupant. The method uses background information such physical and demographic characteristics one-time onboarding surveys (satisfaction with life scale, highly sensitive person personality traits) occupant, well physiological environmental sensor measurements paired few responses. framework was implemented using two personal comfort datasets containing longitudinal 55 people. comprise more than 6000 unique right-here-right-now surveys. results show that CCM only survey an has generally good or better performance compared conventional general-purpose models, but no models. If up ten points used, increased by 8% on average 36% half occupants in first tested datasets. In second dataset, one-third their 5% 46%. can be important step toward development models number datapoints per person.
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ژورنال
عنوان ژورنال: Building and Environment
سال: 2023
ISSN: ['0360-1323', '1873-684X']
DOI: https://doi.org/10.1016/j.buildenv.2022.109685