Bing Dong
Bing Dong
Associate Professor, Ph.D. FIBPSA. Mechanical and Aerospace Engineering, Syracuse University
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Zitiert von
Zitiert von
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
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
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
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
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 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
Sensor-based occupancy behavioral pattern recognition for energy and comfort management in intelligent buildings
B Dong, B Andrews
Occupancy behavior based model predictive control for building indoor climate—A critical review
A Mirakhorli, B Dong
Energy and Buildings 129, 2016
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, ...
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
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
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 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 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
Comparisons of Inverse Modeling Approaches for Predicting Building Energy Performance
GA Yuna Zhang, Zheng O’Neill, Bing Dong
Building and Environment, 2015
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
Modeling and control of building-integrated microgrids for optimal energy management–a review
H Fontenot, B Dong
Applied Energy 254, 113689, 2019
Exploring occupant behavior in buildings
A Wagner, W O’Brien, B Dong
Wagner, A., O’Brien, W., Dong, B., Eds 55, 1267-1273, 2018
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
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