Takip et
Qi Li
Qi Li
Siemens Industry Inc
siemens.com üzerinde doğrulanmış e-posta adresine sahip
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
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
572015
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
522015
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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