Zhihong Pang
Zhihong Pang
Assistant Professor, Louisiana State University
Verified email at - Homepage
Cited by
Cited by
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
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
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
Uncertainty quantification and sensitivity analysis of the domestic hot water usage in hotels
Z Pang, Z O'Neill
Applied energy 232, 424-442, 2018
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
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
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
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
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
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
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 (1), 25-41, 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
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
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), 065101, 2017
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
Investigation of the Impacts of COVID-19 on the Electricity Consumption of a University Dormitory
Z Pang, F Feng, Z O'Neill
ASHRAE 2021 Annual Conference, 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
Maximize the energy performance of the ductless heat pump in residential buildings with existing ac equipment
Z Pang, Y Chen, C Metzger, C Dymond, Z O’Neill, J Zhang
Building Simulation 2019, 2019
Evaluation of Low-cost Particulate Matter (PM) Sensors: A Preliminary Investigation
D Qian, Z Pang, Z O'Neill
ASHRAE 2018 Annual Conference, 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, 109116, 2022
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