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Building Energy Benchmarking between the United States and China: Methods and Challenges In 8th International Symposium on Heating, Ventilation and Air Conditioning, Edited by A. Li, Y. Zhu and Y. Li. Vol. Lecture Notes in Electrical Engineering, Vol 263. Springer, Berlin, Heidelberg, 2014.
Building Performance Simulation., 2013.
Comparison of Building Energy Use Data Between the United States and China." Energy and Buildings 78 (2014): 165-175."
Comparison of HVAC System Modeling in EnergyPlus, DeST and DOE-2.1E." Building Simulation 7, no. 1 (2014): 21-33."
Data Analysis and Stochastic Modeling of Lighting Energy Use in Large Office Buildings in China." Energy and Buildings 86 (2015): 275-287."
Data and Analytics to Inform Energy Retrofit of High Performance Buildings." Applied Energy 126 (2014): 90-106."
Data Mining of Space Heating System Performance in Affordable Housing." Building and Environment 89 (2015): 1-13."
A Detailed Loads Comparison of Three Building Energy Modeling Programs: EnergyPlus, DeST and DOE-2.1E." Building Simulation 6, no. 3 (2013): 323-335."
A Fresh Look at Weather Impact on Peak Electricity Demand and Energy Use of Buildings Using 30-Year Actual Weather Data." Applied Energy 111 (2013): 333-350."
An In-Depth Analysis of Space Heating Energy Use in Office Buildings." In ACEEE 2012 Summer Study. Asilomar, CA: ACEEE, 2012."
Modeling and Simulation of HVAC Faulty Operations and Performance Degradation due to Maintenance Issues." In ASim 2012 - 1st Asia conference of International Building Performance Simulation Association., 2013."
Occupancy Schedules Learning Process Through a Data Mining Framework." Energy and Buildings 88 (2015): 395-408."
Occupant Behavior: Impact on Energy Use of Private Offices." In ASim 2012 - 1st Asia Conference of International Building Performance Simulation Association. Shanghai, China, 2013."
Occupant Behavior Modeling for Building Performance Simulation: Current State and Future Challenges." Energy and Buildings 107 (2015): 264-278."
An Ontology to Represent Energy-Related Occupant Behavior in Buildings. Part II: Implementation of the DNAS framework using an XML schema." Building and Environment 94, no. 1 (2015): 196-205."
An Ontology to Represent Energy-related Occupant Behavior in Buildings Part I: Introduction to the DNAs Framework." Building and Environment 92 (2015): 764-777."
A Retrofit Tool for Improving Energy Efficiency of Commercial Buildings." In ACEEE 2012 Summer Study. Asilomar, CA, 2012."
Revisit of Energy Use and Technologies of High Performance Buildings." In 2014 ASHRAE Annual Conference. Seattle, WA: ASHRAE, 2014."
Simulation of Occupancy in Buildings." Energy and Buildings 87 (2015): 348-359."
Statistical Analysis and Modeling of Occupancy Patterns in Open-Plan Offices using Measured Lighting-Switch Data." Building Simulation 6, no. 1 (2013): 23-32."