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Bing Dong
Bing Dong
Associate Professor, Mechanical and Aerospace Engineering, Syracuse University
Verified email at syr.edu - Homepage
Title
Cited by
Cited by
Year
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
8172005
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
3502010
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
3172017
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
2632014
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
2342009
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
2232009
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
2212017
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
2022007
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
1842008
Occupancy behavior based model predictive control for building indoor climate—A critical review
A Mirakhorli, B Dong
Energy and Buildings 129, 2016
1762016
Comparisons of Inverse Modeling Approaches for Predicting Building Energy Performance
GA Yuna Zhang, Zheng O’Neill, Bing Dong
Building and Environment, 2015
1722015
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
1672014
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
1632016
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
1372011
A review of smart building sensing system for better indoor environment control
B Dong, V Prakash, F Feng, Z O'Neill
Energy and Buildings 199, 29-46, 2019
1332019
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
1312002
Introducing IEA EBC Annex 79: Key challenges and opportunities in the field of occupant-centric building design and operation
W O'Brien, A Wagner, M Schweiker, A Mahdavi, J Day, MB Kjærgaard, ...
Building and Environment 178, 106738, 2020
1302020
Exploring occupant behavior in buildings
A Wagner, W O’Brien, B Dong
Wagner, A., O’Brien, W., Dong, B., Eds, 2018
1262018
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
1212018
A hierarchical approach using machine learning methods in solar photovoltaic energy production forecasting
Z Li, SMM Rahman, R Vega, B Dong
Energies 9 (1), 55, 2016
1062016
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