World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
43
Citations
6267
World Ranking
1744
National Ranking
664

Overview

Zheng O'Neill is affiliated with Texas A&M University in the United States. Their research is predominantly situated in the field of Engineering, focusing particularly on Building and Construction, Electrical and Electronic Engineering, Control and Systems Engineering, Mechanical Engineering, and Environmental Engineering as subfields.

The scientist's work covers several main topics, including:

  • Building Energy and Comfort Optimization
  • Smart Grid Energy Management
  • Infection Control and Ventilation
  • Refrigeration and Air Conditioning Technologies
  • Wind and Air Flow Studies
  • Facilities and Workplace Management
  • Modeling and Simulation Systems

Zheng O'Neill has authored numerous papers, contributing to a variety of journals and conferences. Recent papers include:

  • Grey-box modeling and application for building energy simulations - A critical review, 2021, Renewable and Sustainable Energy Reviews
  • Solar radiation prediction using recurrent neural network and artificial neural network: A case study with comparisons, 2020, Renewable Energy
  • Ten questions concerning occupant health in buildings during normal operations and extreme events including the COVID-19 pandemic, 2020, Building and Environment
  • A review of data-driven fault detection and diagnostics for building HVAC systems, 2023, Applied Energy
  • HVAC energy savings, thermal comfort and air quality for occupant-centric control through a side-by-side experimental study, 2021, Applied Energy

Frequent venues where Zheng O'Neill publishes include:

  • Energy and Buildings
  • SSRN Electronic Journal
  • Science and Technology for the Built Environment
  • Applied Energy
  • Building Simulation Conference proceedings

The scientist collaborates regularly with a core group of co-authors, among whom are:

  • Jin Wen
  • Zhihong Pang
  • Zhiyao Yang
  • Teresa Wu
  • Bing Dong

Best Publications

  • A methodology for meta-model based optimization in building energy models

    Bryan Eisenhower;Zheng O’Neill;Satish Narayanan;Vladimir A. Fonoberov

  • A review of smart building sensing system for better indoor environment control

    Bing Dong;Vishnu Prakash;Fan Feng;Zheng O'Neill

  • Grey-box modeling and application for building energy simulations - A critical review

    Yanfei Li;Zheng O'Neill;Liang Zhang;Jianli Chen

  • Solar radiation prediction using recurrent neural network and artificial neural network: A case study with comparisons

    Zhihong Pang;Zhihong Pang;Fuxin Niu;Fuxin Niu;Zheng O’Neill

  • An Optimal and Learning-Based Demand Response and Home Energy Management System

    Dong Zhang;Shuhui Li;Min Sun;Zheng O'Neill

  • A review of data-driven fault detection and diagnostics for building HVAC systems

    Unknown

  • Uncertainty and sensitivity decomposition of building energy models

    Bryan Eisenhower;Zheng O'Neill;Vladimir A. Fonoberov;Igor Mezić

  • Comparisons of inverse modeling approaches for predicting building energy performance

    Yuna Zhang;Zheng O'Neill;Bing Dong;Godfried Augenbroe

  • A BIM-enabled information infrastructure for building energy Fault Detection and Diagnostics

    Bing Dong;Zheng O'Neill;Zhengwei Li

  • The role of sensitivity analysis in the building performance analysis: A critical review

    Zhihong Pang;Zheng O'Neill;Yanfei Li;Yanfei Li;Fuxin Niu;Fuxin Niu

  • Integrating Home Energy Simulation and Dynamic Electricity Price for Demand Response Study

    Shuhui Li;Dong Zhang;Adam B. Roget;Zheng O'Neill

  • A critical review of fault modeling of HVAC systems in buildings

    Yanfei Li;Zheng O’Neill

  • HVAC energy savings, thermal comfort and air quality for occupant-centric control through a side-by-side experimental study

    Meng Kong;Meng Kong;Bing Dong;Rongpeng Zhang;Zheng O'Neill

  • Building Energy Doctors: An SPC and Kalman Filter-Based Method for System-Level Fault Detection in HVAC Systems

    Biao Sun;Peter B. Luh;Qing-Shan Jia;Zheng O'Neill

  • Nationwide HVAC energy-saving potential quantification for office buildings with occupant-centric controls in various climates

    Zhihong Pang;Yan Chen;Jian Zhang;Zheng O'Neill

  • Evaluation of “Autotune” calibration against manual calibration of building energy models

    Gaurav Chaudhary;Joshua New;Jibonananda Sanyal;Piljae Im

  • Leveraging the analysis of parametric uncertainty for building energy model calibration

    Zheng O’Neill;Bryan Eisenhower

  • A review of leakage detection methods for district heating networks

    Shoujun Zhou;Zheng O'Neill;Charles O'Neill

  • Uncertainty and sensitivity analysis of spatio-temporal occupant behaviors on residential building energy usage utilizing Karhunen-Loève expansion

    Zheng O'Neill;Fuxin Niu

  • Model-based real-time whole building energy performance monitoring and diagnostics

    Zheng O'Neill;Xiufeng Pang;Madhusudana Shashanka;Philip Haves

  • MODEL-BASED THERMAL LOAD ESTIMATION IN BUILDINGS

    Zheng O'Neill;Satish Narayanan;Rohini Brahme

  • How much HVAC energy could be saved from the occupant-centric smart home thermostat: A nationwide simulation study

    Zhihong Pang;Yan Chen;Jian Zhang;Zheng O'Neill

  • A novel simulation-based framework for sensor error impact analysis in smart building systems: A case study for a demand-controlled ventilation system

    Xing Lu;Zheng O'Neill;Yanfei Li;Yanfei Li;Fuxin Niu;Fuxin Niu

  • Energy Savings and Ventilation Performance from CO2-Based Demand Controlled Ventilation: Simulation Results from ASHRAE RP-1747 (ASHRAE RP-1747)

    Zheng D. O'Neill;Yanfei Li;Hwakong C. Cheng;Xiaohui Zhou

  • One for Many: Transfer Learning for Building HVAC Control

    Shichao Xu;Yixuan Wang;Yanzhi Wang;Zheng O'Neill

  • Simulation and experimental demonstration of model predictive control in a building HVAC system

    Pengfei Li;Draguna Vrabie;Dapeng Li;Sorin C. Bengea

  • HVAC control loop performance assessment: A critical review (1587-RP)

    Zheng O’Neill;Yanfei Li;Keith Williams

  • A flexible and generic functional mock-up unit based threat injection framework for grid-interactive efficient buildings: A case study in Modelica

    Yangyang Fu;Zheng O’Neill;Veronica Adetola

  • Data-driven based estimation of HVAC energy consumption using an improved Fourier series decomposition in buildings

    Fuxin Niu;Zheng O’Neill;Charles O’Neill

  • Building energy doctors: SPC and Kalman filter-based fault detection

    Biao Sun;Peter B. Luh;Zheng O'Neill;Fangting Song

  • Model-based estimation of cold room temperatures in a supermarket refrigeration system

    Zheng O'Neill;Satish Narayanan

  • Energy and ventilation performance analysis for CO2-based demand-controlled ventilation in multiple-zone VAV systems with fan-powered terminal units (ASHRAE RP-1819)

    Xing Lu;Tao Yang;Zheng O’Neill;Xiaohui Zhou

  • RESEARCH ARTICLE Uncertainty and Sensitivity Decomposition of Building Energy Models

    Bryan Eisenhower;Zheng O'Neill;Vladimir A. Fonoberov;Igor Mezic

Frequent Co-Authors

Bing Dong
Bing Dong Syracuse University
Igor Mezic
Igor Mezic University of California, Santa Barbara
Fei Hu
Fei Hu University of Alabama
Peter B. Luh
Peter B. Luh University of Connecticut
Teresa Wu
Teresa Wu Arizona State University
Burcin Becerik-Gerber
Burcin Becerik-Gerber University of Southern California
Michael Wetter
Michael Wetter Lawrence Berkeley National Laboratory
Godfried Augenbroe
Godfried Augenbroe Georgia Institute of Technology
Shuhui Li
Shuhui Li University of Alabama
Yanzhi Wang
Yanzhi Wang Northeastern University

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