Google Scholar

ResearchGate

Jie Xiong specializes in smart buildings and grid-interactive technologies, integrating building energy modeling, optimization and control (including MPC), and probabilistic machine learning. Xiong is experienced in leading multidisciplinary projects involving building stock analysis, interoperability standards, and industry collaborations for deployment-oriented solutions. He has a strong background in HVAC systems, thermal engineering, uncertainty quantification, and data-driven modeling, with expertise across EnergyPlus/OpenStudio, Python-based scientific computing, and building automation systems. Xiong is the author of peer-reviewed publications and a contributor to building performance standards and data schema development.

Smart buildings and grid-interactive efficient buildings

Building energy modeling and controls

Machine Learning and Artificial Intelligence

Data standards and interoperability

Occupant comfort and preference