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Qi Li
Qi Li
Siemens Industry Inc
Verified email at siemens.com
Title
Cited by
Cited by
Year
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
972016
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
892015
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
552015
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
502015
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
332015
Effects of scenario uncertainty on chiller sizing method
Y Kang, G Augenbroe, Q Li, Q Wang
Applied Thermal Engineering 123, 187-195, 2017
312017
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
262015
A Framework for empirical validation of building performance simulation under uncertainty
Q Li, G Augenbroe, R Muehleisen
Proceedings of Building Simulation 2017, 2017
52017
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
42020
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
42019
A framework to quantify data informativeness in riskconscious building performance simulation applications
Q Li, G Augenbroe, J Brown
Proceedings of the 15th International Conference of the International …, 2019
32019
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
22020
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
22018
Addressing data informativeness in risk-conscious building performance simulation applications
Q Li
Georgia Institute of Technology, 2017
22017
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
12020
Estimating Whole Building Occupancy from Transportation Simulations
RT Muehleisen, Q Li
Proceedings of the 1st ACM International Workshop on Urban Building Energy …, 2019
12019
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
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Articles 1–17