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Photo of Liang Zhang.

Liang Zhang

Researcher III-Mechanical Engineering

Orcid ID

Liang Zhang joined NREL in 2019. As a member of the Commercial Buildings Research Group, he works on the ComStock project, which uses multiple data sources, statistical sampling methods, and advanced building energy simulations to estimate energy use of the U.S. commercial building stock. He also explores the use of artificial intelligence and machine learning techniques in automated fault detection/diagnostics and building energy modeling.

Prior to joining NREL, Liang was a graduate researcher at Drexel University, working on DOE and NSF funded projects in the field of transactive load control, building-to-grid integration, and data-driven building energy modeling for model predictive control.

Research Interests

Transactive load control and building-to-grid integration

Automated fault detection and diagnostics of building energy systems

Data-driven building energy modeling

Machine learning in buildings

Building energy efficiency and sustainability


Ph.D. Architectural Engineering, Drexel University

M.S. Power Engineering, Tongji University

B.S. Electronic Science and Technology, East China Normal University

Featured Work

A systematic feature selection procedure for short-term data-driven building energy forecasting model developmentEnergy and Buildings (2019)

Apply active learning in short-term data-driven building energy modeling, International High Performance Buildings Conference (2018)

A low cost seasonal solar soil heat storage system for greenhouse heating: Design and pilot studyApplied Energy (2015)