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 | 353 | 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 | 294 | 2016 |
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 |
Solar radiation prediction using recurrent neural network and artificial neural network: A case study with comparisons Z Pang, F Niu, Z O’Neill Renewable Energy 156, 279-289, 2020 | 250 | 2020 |
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 | 249 | 2012 |
Ten questions concerning occupant health in buildings during normal operations and extreme events including the COVID-19 pandemic M Awada, B Becerik-Gerber, S Hoque, Z O'Neill, G Pedrielli, J Wen, T Wu Building and Environment 188, 107480, 2021 | 226 | 2021 |
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 Y Zhang, Z O'Neill, B Dong, G Augenbroe Building and Environment 86, 177-190, 2015 | 214 | 2015 |
Grey-box modeling and application for building energy simulations-A critical review Y Li, Z O'Neill, L Zhang, J Chen, P Im, J DeGraw Renewable and Sustainable Energy Reviews 146, 111174, 2021 | 194 | 2021 |
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 | 154 | 2013 |
The role of sensitivity analysis in the building performance analysis: A critical review Z Pang, Z O'Neill, Y Li, F Niu Energy and Buildings 209, 109659, 2020 | 150 | 2020 |
A critical review of fault modeling of HVAC systems in buildings Y Li, Z O’Neill Building Simulation 11, 953-975, 2018 | 135 | 2018 |
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 | 122 | 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 | 120 | 2004 |
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 | 112 | 2016 |
Nationwide HVAC energy-saving potential quantification for office buildings with occupant-centric controls in various climates Z Pang, Y Chen, J Zhang, Z O'Neill, H Cheng, B Dong Applied Energy 279, 115727, 2020 | 107 | 2020 |
Model-based thermal load estimation in buildings Z O'Neill, S Narayanan, R Brahme Proceedings of simbuild 4 (1), 474-481, 2010 | 105 | 2010 |
Model-based real-time whole building energy performance monitoring and diagnostics Z O’Neill, X Pang, P Haves, M Shashanka, T Bailey Automated Diagnostics and Analytics for Buildings, 205-225, 2021 | 100 | 2021 |
Leveraging the analysis of parametric uncertainty for building energy model calibration Z O’Neill, B Eisenhower Building simulation 6, 365-377, 2013 | 100 | 2013 |
Modeling of standing column wells in ground source heat pump systems Z Deng Oklahoma State University, 2004 | 98 | 2004 |