World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
33
Citations
3612
World Ranking
9470
National Ranking
1568

Overview

Zhimin Du is affiliated with Shanghai Jiao Tong University in China and has an extensive research portfolio primarily situated within the field of Engineering. Their work spans several subfields including Building and Construction, Electrical and Electronic Engineering, Artificial Intelligence, Renewable Energy, Sustainability and the Environment, and Mechanical Engineering.

The research focus of Zhimin Du centers on topics related to energy systems and technologies, with a significant emphasis on building energy optimization and management. Key areas of study include Building Energy and Comfort Optimization, Smart Grid Energy Management, Energy Efficiency and Management, Energy Load and Power Forecasting, Machine Learning and Extreme Learning Machines (ELM), Thermochemical Biomass Conversion Processes, and Water Systems and Optimization.

The scientist has published numerous papers, with notable recent works including:

  • Transfer learning based methodology for migration and application of fault detection and diagnosis between building chillers for improving energy efficiency, 2021, Building and Environment
  • Digital twins model and its updating method for heating, ventilation and air conditioning system using broad learning system algorithm, 2022, Energy
  • Deep learning GAN-based data generation and fault diagnosis in the data center HVAC system, 2023, Energy and Buildings
  • Co-pyrolysis characteristics of forestry and agricultural residues and waste plastics: Thermal decomposition and products distribution, 2023, Process Safety and Environmental Protection
  • Diagnosis for multiple faults of chiller using ELM-KNN model enhanced by multi-label learning and specific feature combinations, 2022, Building and Environment

Zhimin Du frequently collaborates with several co-authors, including Xinqiao Jin, Xu Zhu, Xinbin Liang, Siliang Chen, and Kang Chen. These collaborations resulted in a range of joint publications contributing to their fields of expertise.

The scientist's works are published predominantly in venues specializing in energy and environmental engineering, such as:

  • Energy
  • Applied Energy
  • Building and Environment
  • SSRN Electronic Journal
  • Energy and Buildings

Best Publications

  • Fault detection and diagnosis for buildings and HVAC systems using combined neural networks and subtractive clustering analysis

    Zhimin Du;Bo Fan;Xinqiao Jin;Jinlei Chi

  • Fault diagnosis for temperature, flow rate and pressure sensors in VAV systems using wavelet neural network

    Zhimin Du;Xinqiao Jin;Yunyu Yang

  • A hybrid FDD strategy for local system of AHU based on artificial neural network and wavelet analysis

    Bo Fan;Zhimin Du;Xinqiao Jin;Xuebin Yang

  • Fault detection and diagnosis based on improved PCA with JAA method in VAV systems

    Zhimin Du;Xinqiao Jin;Lizhou Wu

  • Sensor fault detection and its efficiency analysis in air handling unit using the combined neural networks

    Zhimin Du;Bo Fan;Jinlei Chi;Xinqiao Jin

  • Transfer learning based methodology for migration and application of fault detection and diagnosis between building chillers for improving energy efficiency

    Xu Zhu;Kang Chen;Burkay Anduv;Xinqiao Jin

  • Multiple faults diagnosis for sensors in air handling unit using Fisher discriminant analysis

    Zhimin Du;Xinqiao Jin

  • Fault diagnosis for sensors in air handling unit based on neural network pre-processed by wavelet and fractal

    Yonghua Zhu;Xinqiao Jin;Zhimin Du

  • Energy evaluation of optimal control strategies for central VWV chiller systems

    Xinqiao Jin;Zhimin Du;Xiaokun Xiao

  • A novel model-based fault detection method for temperature sensor using fractal correlation dimension

    Xue-Bin Yang;Xin-Qiao Jin;Zhi-Min Du;Yong-Hua Zhu

  • Evaluation of four control strategies for building VAV air-conditioning systems

    Xue-Bin Yang;Xin-Qiao Jin;Zhi-Min Du;Bo Fan

  • Generic simulation model of multi-evaporator variable refrigerant flow air conditioning system for control analysis

    Yonghua Zhu;Xinqiao Jin;Zhimin Du;Bo Fan

  • Detection and diagnosis for sensor fault in HVAC systems

    Zhimin Du;Xinqiao Jin

  • A robot fault diagnostic tool for flow rate sensors in air dampers and VAV terminals

    Zhimin Du;Xinqiao Jin;Xuebin Yang

  • Digital twins model and its updating method for heating, ventilation and air conditioning system using broad learning system algorithm

    Unknown

  • Optimal control strategies for multi-chiller system based on probability density distribution of cooling load ratio

    Bo Fan;Xinqiao Jin;Zhimin Du

  • Control and energy simulation of variable refrigerant flow air conditioning system combined with outdoor air processing unit

    Yonghua Zhu;Xinqiao Jin;Zhimin Du;Xing Fang

  • Fault tolerant control of outdoor air and AHU supply air temperature in VAV air conditioning systems using PCA method

    Xinqiao Jin;Zhimin Du

  • Co-pyrolysis Characteristics of Forestry and Agricultural Residues and Waste Plastics: Thermal Decomposition and Products Distribution

    Unknown

  • Temperature sensor placement optimization for VAV control using CFD–BES co-simulation strategy

    Zhimin Du;Peifan Xu;Xinqiao Jin;Qiaoling Liu

  • Data-driven based reliability evaluation for measurements of sensors in a vapor compression system

    Zhimin Du;Ling Chen;Xinqiao Jin

  • PCA-FDA-Based Fault Diagnosis for Sensors in VAV Systems

    Zhimin Du;Xinqiao Jin;Lizhou Wu

Frequent Co-Authors

Piotr A. Domanski
Piotr A. Domanski National Institute of Standards and Technology

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Pursuing Engineering and Technology in the USA can open doors to a range of career opportunities. Today, many students and professionals are exploring pathways beyond traditional engineering, opting for specialized online programs that complement or expand their expertise.

An online mba under 35k can be an excellent option for those aiming to blend technical skills with business leadership, all while keeping tuition affordable. For those interested in the digital landscape, a social media degree can prepare you for roles in tech-driven marketing and communications.

If your interests lean toward management in service industries, a online hospitality management degree provides fast-track opportunities to enter and advance in this dynamic field. Additionally, earning a reputable business credential like an aacsb accredited online mba ensures global recognition and career flexibility.

With flexible online formats, these programs make it easier for you to gain new skills, pivot your career, and complement your engineering or technology education. Consider these related degrees to broaden your future in a digital, interconnected world.

Best Scientists Citing Zhimin Du

Trending Scientists