Bing Dong
Bing Dong
Associate Professor, Mechanical and Aerospace Engineering, Syracuse University
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
A comparative study of the IFC and gbXML informational infrastructures for data exchange in computational design support environments
B Dong, K Lam, Y Huang, G Dobbs
Tenth International IBPSA Conference, 2007
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
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
Comparisons of Inverse Modeling Approaches for Predicting Building Energy Performance
GA Yuna Zhang, Zheng O’Neill, Bing Dong
Building and Environment, 2015
Occupancy behavior based model predictive control for building indoor climate—A critical review
A Mirakhorli, B Dong
Energy and Buildings 129, 2016
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
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
Effect of the Kondo correlation on the thermopower in a quantum dot
B Dong, XL Lei
Journal of Physics: Condensed Matter 14 (45), 11747, 2002
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
Exploring occupant behavior in buildings
A Wagner, W O’Brien, B Dong
Wagner, A., O’Brien, W., Dong, B., Eds, 2018
Modeling occupancy and behavior for better building design and operation—A critical review
B Dong, D Yan, Z Li, Y Jin, X Feng, H Fontenot
Building Simulation, 1-23, 2018
A hierarchical approach using machine learning methods in solar photovoltaic energy production forecasting
Z Li, SM Rahman, R Vega, B Dong
Energies 9 (1), 55, 2016
Pumped spin-current and shot-noise spectra of a single quantum dot
B Dong, HL Cui, XL Lei
Physical review letters 94 (6), 066601, 2005
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
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