Zheng D. O'Neill, PhD, PE
Cited by
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A methodology for meta-model based optimization in building energy models
B Eisenhower, Z O’Neill, S Narayanan, VA Fonoberov, I MeziŠ
Energy and Buildings 47, 292-301, 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
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
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
Uncertainty and sensitivity decomposition of building energy models
B Eisenhower, Z O'Neill, VA Fonoberov, I MeziŠ
Journal of Building Performance Simulation 5 (3), 171-184, 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
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
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
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
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
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
A critical review of fault modeling of HVAC systems in buildings
Y Li, Z O’Neill
Building Simulation 11, 953-975, 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
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
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
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
Model-based thermal load estimation in buildings
Z O'Neill, S Narayanan, R Brahme
Proceedings of simbuild 4 (1), 474-481, 2010
Leveraging the analysis of parametric uncertainty for building energy model calibration
Z O’Neill, B Eisenhower
Building simulation 6, 365-377, 2013
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
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
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