| 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 | 957 | 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 | 444 | 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 | 407 | 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 | 339 | 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 | 323 | 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 | 286 | 2019 |
| Sensor-based occupancy behavioral pattern recognition for energy and comfort management in intelligent buildings B Dong, B Andrews | 260 | 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, ... | 244 | 2009 |
| Occupancy behavior based model predictive control for building indoor climate—A critical review A Mirakhorli, B Dong Energy and Buildings 129, 2016 | 243 | 2016 |
| 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 | 229 | 2020 |
| 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 | 228 | 2008 |
| 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 | 227 | 2016 |
| 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 | 226 | 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 | 220 | 2014 |
| Comparisons of Inverse Modeling Approaches for Predicting Building Energy Performance GA Yuna Zhang, Zheng O’Neill, Bing Dong Building and Environment, 2015 | 214 | 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 | 184 | 2018 |
| Modeling and control of building-integrated microgrids for optimal energy management–a review H Fontenot, B Dong Applied Energy 254, 113689, 2019 | 171 | 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 | 167 | 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 | 164 | 2011 |
| 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 | 153 | 2016 |
Zheng D. O'Neill, PhD, PETexas A&M University在 tamu.edu 的电子邮件经过验证
