Assessment of linear emulators in lightweight Bayesian calibration of dynamic building energy models for parameter estimation and performance prediction Q Li, G Augenbroe, J Brown Energy and Buildings 124, 194-202, 2016 | 97 | 2016 |
Urban data and building energy modeling: A GIS-based urban building energy modeling system using the urban-EPC engine SJ Quan, Q Li, G Augenbroe, J Brown, PPJ Yang Planning support systems and smart cities, 447-469, 2015 | 94 | 2015 |
Building energy modelling at urban scale: Integration of reduced order energy model with geographical information Q Li, SJ Quan, G Augenbroe, PPJ Yang, J Brown Building Simulation, 2015 | 61 | 2015 |
A GIS-based energy balance modeling system for urban solar buildings SJ Quan, Q Li, G Augenbroe, J Brown, PPJ Yang Energy Procedia 75, 2946-2952, 2015 | 56 | 2015 |
Calibration of dynamic building energy models with multiple responses using Bayesian inference and linear regression models Q Li, L Gu, G Augenbroe, CFJ Wu, J Brown Energy Procedia 78, 979-984, 2015 | 34 | 2015 |
Effects of scenario uncertainty on chiller sizing method Y Kang, G Augenbroe, Q Li, Q Wang Applied Thermal Engineering 123, 187-195, 2017 | 32 | 2017 |
A generic approach to calibrate building energy models under uncertainty using bayesian inference Q Li, L Gu, G Augenbroe, CFJ Wu, J Brown Proceedings of BS2015: 14th Conference of International Building Performance …, 2015 | 27 | 2015 |
A Framework for empirical validation of building performance simulation under uncertainty Q Li, G Augenbroe, R Muehleisen Building Simulation 2017 15, 1770-1779, 2017 | 5 | 2017 |
Effective and scalable modelling of existing non-domestic buildings with radiator system under uncertainty Q Li, R Choudhary, Y Heo, G Augenbroe Journal of Building Performance Simulation 13 (6), 740-759, 2020 | 4 | 2020 |
A Framework to Quantify Data Informativeness in Risk-Conscious Building Performance Simulation Applications Q Li, G Augenbroe, J Brown Building Simulation 2019 16, 4690-4697, 2019 | 4 | 2019 |
Empirical validation of single-room heat transfer models under uncertainty Q Li, R Muehleisen, B Ravache, P Haves Building Simulation Conference Proceedings, IBPSA, 4715-4722, 2019 | 4 | 2019 |
NATIONWIDE IMPACTS OF FUTURE WEATHER ON THE ENERGY USE OF COMMERCIAL BUILDINGS RT Muehleisen, Q Li, R Aliosio, M Santana ASHRAE Topical Conference Proceedings, 400-407, 2020 | 3 | 2020 |
Energy disclosure law in New York City: building energy performance benchmarking progress E Yang, YC Lee, Q Li Facilities 36 (11/12), 571-583, 2018 | 2 | 2018 |
Addressing data informativeness in risk-conscious building performance simulation applications Q Li Georgia Institute of Technology, 2017 | 2 | 2017 |
Empirical validation of multi-zone building and hvac system models under uncertainty Q Li, RT Muehleisen, P Im, J Joe Oak Ridge National Lab.(ORNL), Oak Ridge, TN (United States), 2020 | 1 | 2020 |
Estimating Whole Building Occupancy from Transportation Simulations RT Muehleisen, Q Li Proceedings of the 1st ACM International Workshop on Urban Building Energy …, 2019 | 1 | 2019 |
Bayesian calibration of underwater propagation models under uncertainty RT Muehleisen, SH Swift, Q Li The Journal of the Acoustical Society of America 145 (3_Supplement), 1886-1886, 2019 | | 2019 |