World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
71
Citations
22107
World Ranking
848
National Ranking
367

Research.com Recognitions

  • 2013 - Anthony J. Hornfeck Service Award
  • 2007 - IEEE Fellow For contributions to diagnostics and control in mechatronics

Overview

Mo-Yuen Chow is affiliated with North Carolina State University in the United States. Their research spans primarily the field of engineering, with a focus on electrical and electronic engineering, control and systems engineering, automotive engineering, artificial intelligence, and computer networks and communications.

The scientist's work addresses several main topics including smart grid security and resilience, advanced battery technologies research, smart grid energy management, microgrid control and optimization, fault detection and control systems, optimal power flow distribution, and advancements in battery materials.

Recent publications include:

  • "A Data-Model Interactive Remaining Useful Life Prediction Approach of Lithium-Ion Batteries Based on PF-BiGRU-TSAM" (2023, IEEE Transactions on Industrial Informatics)
  • "Survey on AI and Machine Learning Techniques for Microgrid Energy Management Systems" (2023, IEEE/CAA Journal of Automatica Sinica)
  • "Vulnerability of Machine Learning Approaches Applied in IoT-Based Smart Grid: A Review" (2024, IEEE Internet of Things Journal)
  • "Resilient Collaborative Distributed Energy Management System Framework for Cyber-Physical DC Microgrids" (2020, IEEE Transactions on Smart Grid)
  • "Accelerated Distributed Hybrid Stochastic/Robust Energy Management of Smart Grids" (2020, IEEE Transactions on Industrial Informatics)

Frequent coauthors collaborating with this scientist include:

  • Zheyuan Cheng
  • Xianghui Cao
  • Yiyan Li
  • Cong-Sheng Huang
  • Zhenyong Zhang

Mo-Yuen Chow has published extensively in the following venues:

  • arXiv (Cornell University)
  • IEEE Transactions on Industrial Informatics
  • SSRN Electronic Journal
  • IEEE Transactions on Smart Grid
  • IEEE Industrial Electronics Magazine

The scientist received the Anthony J. Hornfeck Service Award in 2013. In 2007, they were recognized as an IEEE Fellow for contributions to diagnostics and control in mechatronics.

Best Publications

  • Control methodologies in networked control systems

    Yodyium Tipsuwan;Mo-Yuen Chow

  • Networked Control System: Overview and Research Trends

    Rachana Ashok Gupta;Mo-Yuen Chow

  • Battery Management System: An Overview of Its Application in the Smart Grid and Electric Vehicles

    H. Rahimi-Eichi;U. Ojha;F. Baronti;M. Chow

  • Neural-network-based motor rolling bearing fault diagnosis

    B. Li;M.-Y. Chow;Y. Tipsuwan;J.C. Hung

  • A Survey on Demand Response in Smart Grids: Mathematical Models and Approaches

    Ruilong Deng;Zaiyue Yang;Mo-Yuen Chow;Jiming Chen

  • A Survey on the Electrification of Transportation in a Smart Grid Environment

    Wencong Su;Habiballah Eichi;Wente Zeng;Mo-Yuen Chow

  • Convergence Analysis of the Incremental Cost Consensus Algorithm Under Different Communication Network Topologies in a Smart Grid

    Ziang Zhang;Mo-Yuen Chow

  • Online Adaptive Parameter Identification and State-of-Charge Coestimation for Lithium-Polymer Battery Cells

    Habiballah Rahimi-Eichi;Federico Baronti;Mo-Yuen Chow

  • Performance Evaluation of an EDA-Based Large-Scale Plug-In Hybrid Electric Vehicle Charging Algorithm

    Wencong Su;Mo-Yuen Chow

  • Network-based control systems: a tutorial

    Mo-Yuen Chow;Yodyium Tipsuwan

  • Incremental Welfare Consensus Algorithm for Cooperative Distributed Generation/Demand Response in Smart Grid

    Navid Rahbari-Asr;Unnati Ojha;Ziang Zhang;Mo-Yuen Chow

  • A review of emerging techniques on generation expansion planning

    Jinxiang Zhu;Mo-yuen Chow

  • Gain scheduler middleware: a methodology to enable existing controllers for networked control and teleoperation - part I: networked control

    Y. Tipsuwan;Mo-Yuen Chow

  • Methodologies of Using Neural Network and Fuzzy Logic Technologies for Motor Incipient Fault Detection

    Mo-Yuen Chow

  • On the application and design of artificial neural networks for motor fault detection. II

    M.-Y. Chow;R.N. Sharpe;J.C. Hung

  • Residential Energy Consumption Scheduling: A Coupled-Constraint Game Approach

    Ruilong Deng;Zaiyue Yang;Jiming Chen;Navid Rahbari Asr

  • To Centralize or to Distribute: That Is the Question: A Comparison of Advanced Microgrid Management Systems

    Zheyuan Cheng;Jie Duan;Mo-Yuen Chow

  • Multiple Discriminant Analysis and Neural-Network-Based Monolith and Partition Fault-Detection Schemes for Broken Rotor Bar in Induction Motors

    B. Ayhan;Mo-Yuen Chow;Myung-Hyun Song

  • A classification approach for power distribution systems fault cause identification

    L. Xu;Mo-Yuen Chow

  • Gain adaptation of networked DC motor controllers based on QoS variations

    Mo-Yuen Chow;Y. Tipsuwan

Frequent Co-Authors

Yinliang Xu
Yinliang Xu Tsinghua University
Wenye Wang
Wenye Wang North Carolina State University
Chengbin Ma
Chengbin Ma Shanghai Jiao Tong University
Hongbin Sun
Hongbin Sun Tsinghua University
Jiming Chen
Jiming Chen Zhejiang University
Badong Chen
Badong Chen Xi'an Jiaotong University
Wei Qiao
Wei Qiao University of Nebraska–Lincoln
Soummya Kar
Soummya Kar Carnegie Mellon University
Srdjan Lukic
Srdjan Lukic North Carolina State University
Brian Johnson
Brian Johnson University of Washington

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