| 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 | 365 | 2012 |
| 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 | 358 | 2019 |
| 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 | 313 | 2016 |
| 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 | 311 | 2020 |
| 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 | 272 | 2021 |
| 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 | 271 | 2021 |
| 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 | 256 | 2012 |
| 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 | 236 | 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 | 223 | 2015 |
| 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 | 197 | 2020 |
| A critical review of fault modeling of HVAC systems in buildings Y Li, Z O’Neill Building Simulation 11, 953-975, 2018 | 164 | 2018 |
| 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 | 153 | 2013 |
| A review of data-driven fault detection and diagnostics for building HVAC systems Z Chen, Z O’Neill, J Wen, O Pradhan, T Yang, X Lu, G Lin, S Miyata, S Lee, ... Applied Energy 339, 121030, 2023 | 139 | 2023 |
| 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 | 130 | 2020 |
| 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 | 129 | 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 | 127 | 2016 |
| HVAC energy savings, thermal comfort and air quality for occupant-centric control through a side-by-side experimental study M Kong, B Dong, R Zhang, Z O'Neill Applied Energy 306, 117987, 2022 | 126 | 2022 |
| 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 | 122 | 2004 |
| Leveraging the analysis of parametric uncertainty for building energy model calibration Z O’Neill, B Eisenhower Building simulation 6, 365-377, 2013 | 113 | 2013 |
| Model-based thermal load estimation in buildings Z O'Neill, S Narayanan, R Brahme Proceedings of simbuild 4 (1), 474-481, 2010 | 105 | 2010 |
Jin Wendrexel universityZweryfikowany adres z drexel.edu