Bing Dong
Bing Dong
Associate Professor, Department of Mechanical Engineering, University of Texas, San Antonio
Verified email at - Homepage
TitleCited byYear
Applying support vector machines to predict building energy consumption in tropical region
B Dong, C Cao, SE Lee
Energy and Buildings 37 (5), 545-553, 2005
An information technology enabled sustainability test-bed (ITEST) for occupancy detection through an environmental sensing network
B Dong, B Andrews, KP Lam, M Höynck, R Zhang, YS Chiou, D Benitez
Energy and Buildings 42 (7), 1038-1046, 2010
Sensor-based occupancy behavioral pattern recognition for energy and comfort management in intelligent buildings
B Dong, B Andrews
Proceedings of building simulation, 1444-1451, 2009
Occupancy detection through an extensive environmental sensor network in an open-plan office building
KP Lam, M Höynck, B Dong, B Andrews, YS Chiou, R Zhang, D Benitez, ...
IBPSA Building Simulation 145, 1452-1459, 2009
An applied artificial intelligence approach towards assessing building performance simulation tools
A Yezioro, B Dong, F Leite
Energy and Buildings 40 (4), 612-620, 2008
A real-time model predictive control for building heating and cooling systems based on the occupancy behavior pattern detection and local weather forecasting
B Dong, KP Lam
Building Simulation 7 (1), 89-106, 2014
Building energy and comfort management through occupant behaviour pattern detection based on a large-scale environmental sensor network
B Dong, KP Lam
Journal of Building Performance Simulation 4 (4), 359-369, 2011
Comparisons of Inverse Modeling Approaches for Predicting Building Energy Performance
GA Yuna Zhang, Zheng O’Neill, Bing Dong
Building and Environment, 2015
A BIM-enabled information infrastructure for building energy Fault Detection and Diagnostics
B Dong, Z O'Neill, Z Li
Automation in Construction 44, 197-211, 2014
Occupancy behavior based model predictive control for building indoor climate—A critical review
A Mirakhorli, B Dong
Energy and Buildings 129, 2016
IEA EBC Annex 66: Definition and simulation of occupant behavior in buildings
D Yan, T Hong, B Dong, A Mahdavi, S D’Oca, I Gaetani, X Feng
Energy and Buildings 156, 258-270, 2017
Integrated building control based on occupant behavior pattern detection and local weather forecasting
B Dong, KP Lam, C Neuman
Twelfth International IBPSA Conference. Sydney: IBPSA Australia, 14-17, 2011
A holistic utility bill analysis method for baselining whole commercial building energy consumption in Singapore
B Dong, SE Lee, MH Sapar
Energy and buildings 37 (2), 167-174, 2005
A survey on energy consumption and energy usage behavior of households and residential building in urban China
B Hu, S., Yan, D., Guo, S., Cui, Y. and Dong
Energy and Buildings, 2017
A hybrid model approach for forecasting future residential electricity consumption
B Dong, Z Li, SMM Rahman, R Vega
Energy and Buildings 117, 341-351, 2016
Information-theoretic environment features selection for occupancy detection in open office spaces
R Zhang, KP Lam, YS Chiou, B Dong
Building Simulation 5 (2), 179-188, 2012
Information-theoretic environmental features selection for occupancy detection in open offices
KP Lam, M Hoynck, R Zhang, B Andrews, YS Chiou, B Dong, D Benitez
Eleventh International IBPSA Conference, 27-30, 2009
Adaptive Gaussian Process for Short-Term Wind Speed Forecasting.
X Jiang, B Dong, L Xie, L Sweeney
ECAI, 661-666, 2010
Integrated building heating, cooling and ventilation control
B Dong
Baseline building energy modeling and localized uncertainty quantification using Gaussian mixture models
A Srivastav, A Tewari, B Dong
Energy and Buildings 65, 438-447, 2013
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