首页|期刊导航|中国电机工程学会电力与能源系统学报（英文版）|Model and Data Hybrid Driven Approach for Quantifying the Meteorology-dependent Demand Flexibility of Building Thermal Loads
中国电机工程学会电力与能源系统学报（英文版）2025，Vol.11Issue(1)：394-405,12.DOI:10.17775/CSEEJPES.2021.01690
Model and Data Hybrid Driven Approach for Quantifying the Meteorology-dependent Demand Flexibility of Building Thermal Loads
Model and Data Hybrid Driven Approach for Quantifying the Meteorology-dependent Demand Flexibility of Building Thermal Loads
摘要
关键词
Flexibility of buildings'thermal loads/heat and electricity integrated energy system/meteorological factors/model and data hybrid drivenKey words
Flexibility of buildings'thermal loads/heat and electricity integrated energy system/meteorological factors/model and data hybrid driven引用本文复制引用
Bo Hu,Xin Cheng,Changzheng Shao,Tao Niu,Chunyan Li,Yue Sun,Wei Huang,Kaigui Xie..Model and Data Hybrid Driven Approach for Quantifying the Meteorology-dependent Demand Flexibility of Building Thermal Loads[J].中国电机工程学会电力与能源系统学报（英文版）,2025,11(1):394-405,12.基金项目
This work was supported by the National Natural Science Foundation of China(52107072)and International Cooperation and Exchange of NSFC(51861145406). （52107072）
