| 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 | 405 | 2010 |
| Occupant behavior and schedule modeling for building energy simulation through office appliance power consumption data mining J Zhao, B Lasternas, KP Lam, R Yun, V Loftness Energy and buildings 82, 341-355, 2014 | 357 | 2014 |
| 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 |
| Whole building energy model for HVAC optimal control: A practical framework based on deep reinforcement learning Z Zhang, A Chong, Y Pan, C Zhang, KP Lam Energy and Buildings 199, 472-490, 2019 | 250 | 2019 |
| 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, ... | 242 | 2009 |
| A comparative study of the IFC and gbXML informational infrastructures for data exchange in computational design support environments B Dong, KP Lam, YC Huang, GM Dobbs | 226 | 2007 |
| 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 |
| Practical implementation and evaluation of deep reinforcement learning control for a radiant heating system Z Zhang, KP Lam Proceedings of the 5th Conference on Systems for Built Environments, 148-157, 2018 | 127 | 2018 |
| A deep reinforcement learning approach to using whole building energy model for hvac optimal control Z Zhang, A Chong, Y Pan, C Zhang, S Lu, KP Lam 2018 Building Performance Analysis Conference and SimBuild 3, 22-23, 2018 | 125 | 2018 |
| Coupled EnergyPlus and computational fluid dynamics simulation for natural ventilation R Zhang, KP Lam, S Yao, Y Zhang Building and Environment 68, 100-113, 2013 | 124 | 2013 |
| Bayesian calibration of building energy models with large datasets A Chong, KP Lam, M Pozzi, J Yang Energy and Buildings 154, 343-355, 2017 | 123 | 2017 |
| Occupant-oriented mixed-mode EnergyPlus predictive control simulation J Zhao, KP Lam, BE Ydstie, V Loftness Energy and Buildings 117, 362-371, 2016 | 104 | 2016 |
| Integrated building control based on occupant behavior pattern detection and local weather forecasting B Dong, KP Lam, CP Neuman | 92 | 2011 |
| Performance evaluation of an agent-based occupancy simulation model X Luo, KP Lam, Y Chen, T Hong Building and Environment 115, 42-53, 2017 | 84 | 2017 |
| Coupling of whole-building energy simulation and multi-dimensional numerical optimization for minimizing the life cycle costs of office buildings OT Karaguzel, R Zhang, KP Lam Building simulation 7, 111-121, 2014 | 84 | 2014 |
| EnergyPlus model-based predictive control within design–build–operate energy information modelling infrastructure J Zhao, KP Lam, BE Ydstie, OT Karaguzel Journal of Building Performance Simulation 8 (3), 121-134, 2015 | 81 | 2015 |
| An EnergyPlus whole building energy model calibration method for office buildings using occupant behavior data mining and empirical data KP Lam, J Zhao, EB Ydstie, J Wirick, M Qi, JH Park ASHRAE Journal, 160-167, 2014 | 77 | 2014 |
| Data-driven model for cross ventilation potential in high-density cities based on coupled CFD simulation and machine learning C Ding, KP Lam Building and Environment 165, 106394, 2019 | 75 | 2019 |
| Improving evolutionary algorithm performance for integer type multi-objective building system design optimization W Xu, A Chong, OT Karaguzel, KP Lam Energy and Buildings 127, 714-729, 2016 | 67 | 2016 |
| EnergyPlus model-based predictive control (EPMPC) by using MATLAB/SIMULINK and MLE+ J Zhao | 66 | 2013 |
