建筑模拟（英文版）2025，Vol.18Issue(2)：235-258,24.DOI:10.1007/s12273-024-1203-9
Understanding HVAC system runtime of U.S.homes:An energy signature analysis using smart thermostat data
Understanding HVAC system runtime of U.S.homes:An energy signature analysis using smart thermostat data
摘要
关键词
data-driven modeling/HVAC system runtime/energy signature analysis/smart thermostat dataset/ecobee DYDKey words
data-driven modeling/HVAC system runtime/energy signature analysis/smart thermostat dataset/ecobee DYD引用本文复制引用
You-Jeong Kim,Alexander Waegel,Max Hakkarainen,Yun Kyu Yi,William Braham..Understanding HVAC system runtime of U.S.homes:An energy signature analysis using smart thermostat data[J].建筑模拟（英文版）,2025,18(2):235-258,24.基金项目
The authors gratefully acknowledge the advice and support from Josiah Johnston and Daikin Open Innovation Lab Silicon Valley for this research.Special thanks to ecobee,Inc.,and its customers who participated in the Donate Your Data program for their contribution of data.This research utilized the Delta advanced computing and data resource,supported by the National Science Foundation(award OAC-2005572)and the State of Illinois,USA.Delta is a joint effort of the University of Illinois Urbana-Champaign and its National Center for Supercomputing Applications. （award OAC-2005572）
