70 citations · 71 across the 2 of their papers we have counts for
3 papers
eess.SY2026★ 1 cited
BESTOpt: A Modular, Physics-Informed Machine Learning based Building Modeling, Control and Optimization Framework
Zixin Jiang, Ruizhi Song, Guowen Li +5
Modern buildings are increasingly interconnected with occupancy, heating, ventilation, and air-conditioning (HVAC) systems, distributed energy resources (DERs), and power grids. Mo…
eess.SY2025★ 70 cited
Physics-informed machine learning for building performance simulation-A review of a nascent field
Zixin Jiang, Xuezheng Wang, Han Li +5
Building performance simulation (BPS) is critical for understanding building dynamics and behavior, analyzing performance of the built environment, optimizing energy efficiency, im…
eess.SY2025
Physics-informed Modularized Neural Network for Advanced Building Control by Deep Reinforcement Learning
Zixin Jiang, Xuezheng Wang, Bing Dong
Physics-informed machine learning (PIML) provides a promising solution for building energy modeling and can serve as a virtual environment to enable reinforcement learning (RL) age…