| 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 | 653 | 2005 |
| 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 | 298 | 2010 |
| 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 | 192 | 2009 |
| 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 | 185 | 2017 |
| 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 | 182 | 2009 |
| 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 | 179 | 2014 |
| 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 | 177 | 2007 |
| 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 | 140 | 2008 |
| 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 | 134 | 2017 |
| 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 | 131 | 2014 |
| Comparisons of Inverse Modeling Approaches for Predicting Building Energy Performance GA Yuna Zhang, Zheng O˘Neill, Bing Dong Building and Environment, 2015 | 123 | 2015 |
| Occupancy behavior based model predictive control for building indoor climate—A critical review A Mirakhorli, B Dong Energy and Buildings 129, 2016 | 118 | 2016 |
| 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 | 111 | 2011 |
| 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 | 96 | 2016 |
| Integrated building control based on occupant behavior pattern detection and local weather forecasting B Dong, KP Lam, C Neuman Twelfth International IBPSA Conference. Sydney: IBPSA Australia, 14-17, 2011 | 68 | 2011 |
| A holistic utility bill analysis method for baselining whole commercial building energy consumption in Singapore B Dong, SE Lee, MH Sapar Energy and buildings 37 (2), 167-174, 2005 | 66 | 2005 |
| Exploring Occupant Behavior in Buildings A Wagner, W O˘Brien, B Dong Wagner, A., O˘Brien, W., Dong, B., Eds, 2018 | 65 | 2018 |
| A hierarchical approach using machine learning methods in solar photovoltaic energy production forecasting Z Li, SM Rahman, R Vega, B Dong Energies 9 (1), 55, 2016 | 65 | 2016 |
| 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 | 62 | 2018 |
| Information-theoretic environment features selection for occupancy detection in open office spaces R Zhang, KP Lam, YS Chiou, B Dong Building Simulation 5 (2), 179-188, 2012 | 49 | 2012 |
Zheng D. O'Neill, PhD, PETexas A&M UniversityVerified email at tamu.edu
