Predicting Thermal Comfort in Buildings With Machine Learning and Occupant Feedback
Author:
Affiliation:
1. HOLISTIC IKE,Athens,Greece
2. National Technical University of Athens,School of Electrical and Computer Engineering,Decision Support Systems, Laboratory,Athens,Greece
3. ASM Terni S.p.A.,Terni,Italy
Funder
Horizon Europe
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10163996/10163997/10164051.pdf?arnumber=10164051
Reference30 articles.
1. A personalized measure of thermal comfort for building controls
2. A web-based Building Automation and Control Service
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4. Thermal adaptations and logistic regression analysis of thermal comfort in severe cold area based on two case studies
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