activity
20242026
most citedPhysics-informed machine learning for building performance simulation-A review of a nascent field

70 citations · 91 across the 7 of their papers we have counts for

collaborators

7 papers

eess.SY2026

Buildrix: An Open Platform for Sharing and Benchmarking Agentic AI Skills in Building Engineering

Zixin Jiang, Bing Dong

Agentic AI offers significant potential to automate complex building-engineering workflows. However, most existing applications remain isolated proof-of-concept demonstrations and…

eess.SY2026

OptAgent: an Agentic AI framework for Intelligent Building Operations

Zixin Jiang, Weili Xu, Bing Dong

The urgent need for building decarbonization calls for a paradigm shift in future autonomous building energy operation, from human-intensive engineering workflows toward intelligen…

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★ 20 cited

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…

eess.SY2024

Modularized Neural Network Incorporating Physical Priors for Smart Building Control, Accuracy or Consistency?

Zixin Jiang, Bing Dong

Model predictive control can achieve significant energy savings, offer grid flexibility, and mitigate carbon emissions. However, the challenge of identifying individual control-ori…

cs.AI2024

The Smart Buildings Control Suite: A Diverse Open Source Benchmark to Evaluate and Scale HVAC Control Policies for Sustainability

Judah Goldfeder, Victoria Dean, Zixin Jiang +4

Commercial buildings account for 17% of U.S. carbon emissions, with roughly half of that from Heating, Ventilation, and Air Conditioning (HVAC). HVAC devices form a complex thermod…