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Bing Dong
Bing Dong
Associate Professor, Ph.D. FIBPSA. Mechanical and Aerospace Engineering, Syracuse University
Dirección de correo verificada de syr.edu - Página principal
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Año
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
9442005
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
4252017
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
4012010
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
3272014
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
3082017
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
2612019
Sensor-based occupancy behavioral pattern recognition for energy and comfort management in intelligent buildings
B Dong, B Andrews
2582009
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
2352016
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
2222008
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
2222007
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
2182016
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
2132020
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
2132014
Comparisons of Inverse Modeling Approaches for Predicting Building Energy Performance
GA Yuna Zhang, Zheng O’Neill, Bing Dong
Building and Environment, 2015
2042015
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
1782018
Exploring occupant behavior in buildings
A Wagner, W O’Brien, B Dong
Wagner, A., O’Brien, W., Dong, B., Eds 55, 1267-1273, 2018
1632018
Modeling and control of building-integrated microgrids for optimal energy management–a review
H Fontenot, B Dong
Applied Energy 254, 113689, 2019
1582019
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
1582011
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
1452016
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