| 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 | 274 | 2020 |
| 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 | 172 | 2020 |
| 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 | 118 | 2020 |
| Electricity demand response in China: Status, feasible market schemes and pilots W Li, P Xu, X Lu, H Wang, Z Pang Energy 114, 981-994, 2016 | 88 | 2016 |
| Uncertainty quantification and sensitivity analysis of the domestic hot water usage in hotels Z Pang, Z O'Neill Applied energy 232, 424-442, 2018 | 81 | 2018 |
| How much HVAC energy could be saved from the occupant-centric smart home thermostat: A nationwide simulation study Z Pang, Y Chen, J Zhang, Z O'Neill, H Cheng, B Dong Applied Energy 283, 116251, 2021 | 65 | 2021 |
| Application of mobile positioning occupancy data for building energy simulation: An engineering case study Z Pang, P Xu, Z O'Neill, J Gu, S Qiu, X Lu, X Li Building and Environment 141, 1-15, 2018 | 65 | 2018 |
| Extracting typical occupancy data of different buildings from mobile positioning data J Gu, P Xu, Z Pang, Y Chen, Y Ji, Z Chen Energy and Buildings 180, 135-145, 2018 | 64 | 2018 |
| Implementation of expansion planning in existing district energy system: A case study in China J Hou, P Xu, X Lu, Z Pang, Y Chu, G Huang Applied Energy 211, 269-281, 2018 | 53 | 2018 |
| The nexus of the indoor CO2 concentration and ventilation demands underlying CO2-based demand-controlled ventilation in commercial buildings: A critical review X Lu, Z Pang, Y Fu, Z O'Neill Building and Environment 218, 109116, 2022 | 49 | 2022 |
| Extracting typical occupancy schedules from social media (TOSSM) and its integration with building energy modeling X Lu, F Feng, Z Pang, T Yang, Z O’Neill Building Simulation 14, 25-41, 2021 | 45 | 2021 |
| Energy-saving potential evaluation for primary schools with occupant-centric controls Y Ye, Y Chen, J Zhang, Z Pang, Z O’Neill, B Dong, H Cheng Applied Energy 293, 116854, 2021 | 41 | 2021 |
| A quick auto-calibration approach based on normative energy models S Qiu, Z Li, Z Pang, W Zhang, Z Li Energy and Buildings 172, 35-46, 2018 | 36 | 2018 |
| Advances in research and applications of CO2-based demand-controlled ventilation in commercial buildings: A critical review of control strategies and performance evaluation ZON Xing Lu, Zhihong Pang, Yangyang Fu Building and Environment 223, 109455, 2022 | 29 | 2022 |
| Quantifying the nationwide HVAC energy savings in large hotels: the role of occupant-centric controls Z Pang, Y Chen, J Zhang, Z O’Neill, H Cheng, B Dong Journal of Building Performance Simulation 14 (6), 749-769, 2021 | 18 | 2021 |
| A Smart CO2-Based Ventilation Control Framework to Minimize the Infection Risk of COVID-19 In Public Buildings 2 Z Pang, P Hu, X Lu, Q Wang, Z O’Neill | 14 | 2021 |
| Energy and ventilation performance analysis for CO2-based demand-controlled ventilation in multiple-zone VAV systems with fan-powered terminal units (ASHRAE … X Lu, T Yang, Z O’Neill, X Zhou, Z Pang Science and Technology for the Built Environment 27 (2), 139-157, 2020 | 14 | 2020 |
| Nationwide Energy Saving Potential Evaluation for Office Buildings with Occupant-Based Building Controls Z Pang, Y Chen, J Zhang, Z O'Neill, H Cheng, B Dong ASHRAE 2020 Winter Conference, 2020 | 13 | 2020 |
| Quantification of how mechanical ventilation influences the airborne infection risk of COVID-19 and HVAC energy consumption in office buildings Z Pang, X Lu, Z O’Neill Building Simulation 16 (5), 713-732, 2023 | 11 | 2023 |
| Evaluation of the performance of a new solar ventilated window: Modeling and experimental verification Z Pang, P Xu, X Lu, S Qiu, L Chen, J Hou Journal of Renewable and Sustainable Energy 9 (6), 2017 | 10 | 2017 |
Zheng D. O'Neill, Professor, PhD, PETexas A&M UniversityBestätigte E-Mail-Adresse bei tamu.edu
