| A methodology for meta-model based optimization in building energy models B Eisenhower, Z O’Neill, S Narayanan, VA Fonoberov, I Mezić Energy and Buildings 47, 292-301, 2012 | 264 | 2012 |
| Uncertainty and sensitivity decomposition of building energy models B Eisenhower, Z O'Neill, VA Fonoberov, I Mezić Journal of Building Performance Simulation 5 (3), 171-184, 2012 | 204 | 2012 |
| An optimal and learning-based demand response and home energy management system D Zhang, S Li, M Sun, Z O’Neill IEEE Transactions on Smart Grid 7 (4), 1790-1801, 2016 | 174 | 2016 |
| Comparisons of inverse modeling approaches for predicting building energy performance Y Zhang, Z O'Neill, B Dong, G Augenbroe Building and Environment 86, 177-190, 2015 | 135 | 2015 |
| 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 | 133 | 2014 |
| Integrating home energy simulation and dynamic electricity price for demand response study S Li, D Zhang, AB Roget, Z O'Neill IEEE Transactions on Smart Grid 5 (2), 779-788, 2013 | 126 | 2013 |
| A study of geothermal heat pump and standing column well performance SJ Rees, JD Spitler, Z Deng, CD Orio, CN Johnson ASHRAE Transactions 110 (1), 3-13, 2004 | 100 | 2004 |
| Modeling of standing column wells in ground source heat pump systems Z Deng Oklahoma State University, 2004 | 90 | 2004 |
| Model-based thermal load estimation in buildings Z O'Neill, S Narayanan, R Brahme Proceedings of SimBuild 4 (1), 474-481, 2010 | 84 | 2010 |
| Building energy doctors: An SPC and Kalman filter-based method for system-level fault detection in HVAC systems B Sun, PB Luh, QS Jia, Z O'Neill, F Song IEEE Transactions on Automation Science and Engineering 11 (1), 215-229, 2013 | 79 | 2013 |
| Leveraging the analysis of parametric uncertainty for building energy model calibration Z O’Neill, B Eisenhower Building simulation 6 (4), 365-377, 2013 | 75 | 2013 |
| Evaluation of “Autotune” calibration against manual calibration of building energy models G Chaudhary, J New, J Sanyal, P Im, Z O’Neill, V Garg Applied energy 182, 115-134, 2016 | 69 | 2016 |
| A model for annual simulation of standing column well ground heat exchangers Z Deng, SJ Rees, JD Spitler Hvac&R Research 11 (4), 637-655, 2005 | 66 | 2005 |
| Model-based real-time whole building energy performance monitoring and diagnostics Z O'Neill, X Pang, M Shashanka, P Haves, T Bailey Journal of Building Performance Simulation 7 (2), 83-99, 2014 | 64 | 2014 |
| A Survey of Standing Column Well Installations in North America. CD Orio, A Chiasson, CN Johnson, Z Deng, SJ Rees, JD Spitler ASHRAE transactions 111 (2), 2005 | 59 | 2005 |
| Uncertainty and sensitivity analysis of spatio-temporal occupant behaviors on residential building energy usage utilizing Karhunen-Loève expansion Z O'Neill, F Niu Building and Environment 115, 157-172, 2017 | 47 | 2017 |
| Development of a probabilistic graphical model for predicting building energy performance Z O’Neill, C O’Neill Applied energy 164, 650-658, 2016 | 46 | 2016 |
| Performance analysis of standing column well ground heat exchanger systems ZD O'Neill, JD Spitler, S Rees ASHRAE transactions 112 (2), 633-644, 2006 | 44 | 2006 |
| Uncertainty quantification and sensitivity analysis of the domestic hot water usage in hotels Z Pang, Z O'Neill Applied Energy 232, 424-442, 2018 | 40 | 2018 |
| Real-time building energy simulation using EnergyPlus and the Building Controls Virtual Test Bed X Pang, P Bhattacharya, Z O’Neill, P Haves, M Wetter, T Bailey Proceeding of the 12th IBPSA Conference, 2890-2896, 2011 | 40 | 2011 |
Bing DongAssociate Professor, Mechanical and Aerospace Engineering, Syracuse UniversityVerified email at syr.edu
