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Bing Dong
Bing Dong
Associate Professor, Ph.D. FIBPSA. 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
9572005
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
4412017
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
4062010
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, 89-106, 2014
3362014
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
3242017
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
2862019
Sensor-based occupancy behavioral pattern recognition for energy and comfort management in intelligent buildings
B Dong, B Andrews
2602009
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, ...
2432009
Occupancy behavior based model predictive control for building indoor climate—A critical review
A Mirakhorli, B Dong
Energy and Buildings 129, 2016
2402016
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
2282008
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
2272016
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
2262020
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
2262007
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
2202014
Comparisons of Inverse Modeling Approaches for Predicting Building Energy Performance
GA Yuna Zhang, Zheng O’Neill, Bing Dong
Building and Environment, 2015
2142015
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
1842018
Modeling and control of building-integrated microgrids for optimal energy management–a review
H Fontenot, B Dong
Applied Energy 254, 113689, 2019
1702019
Exploring occupant behavior in buildings
A Wagner, W O’Brien, B Dong
Wagner, A., O’Brien, W., Dong, B., Eds 55, 1267-1273, 2018
1652018
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
1632011
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
1532016
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