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Michael Negnevitsky

Michael Negnevitsky

D-Index & Metrics

Engineering and Technology

D-Index
49
Citations
15089
World Ranking
4214
National Ranking
229

Overview

Michael Negnevitsky is affiliated with the University of Tasmania in Australia and specializes in the field of Engineering, with a focus on Electrical and Electronic Engineering, Control and Systems Engineering, Mechanical Engineering, Automotive Engineering, and Renewable Energy, Sustainability and the Environment.

Their recent research encompasses several key topics, including Microgrid Control and Optimization, Electric Vehicles and Infrastructure, Advanced Battery Technologies Research, Smart Grid Energy Management, Biodiesel Production and Applications, Hybrid Renewable Energy Systems, and Phase Change Materials Research.

Michael Negnevitsky has published extensively in various academic venues. The more frequent publication outlets include:

  • Energies
  • Energy
  • IEEE Transactions on Industry Applications
  • Energy Conversion and Management
  • Applied Thermal Engineering

Their recent papers cover a range of topics mainly related to battery technologies and thermal management systems for electric vehicles, as well as applications of artificial intelligence in power systems. Selected recent publications include:

  • "A review of air-cooling battery thermal management systems for electric and hybrid electric vehicles" (2021, Journal of Power Sources)
  • "An up-to-date review on the design improvement and optimization of the liquid-cooling battery thermal management system for electric vehicles" (2022, Applied Thermal Engineering)
  • "Connecting battery technologies for electric vehicles from battery materials to management" (2022, iScience)
  • "Review of AI applications in harmonic analysis in power systems" (2021, Renewable and Sustainable Energy Reviews)
  • "Melting and solidification characteristics of a semi-rotational eccentric tube horizontal latent heat thermal energy storage" (2022, Applied Thermal Engineering)

Frequent coauthors collaborating with Michael Negnevitsky include Xiaolin Wang, Chengjiang Li, Evan Franklin, Gang Zhao, and Nishant Modi.

Best Publications

  • Artificial Intelligence: A Guide to Intelligent Systems

    Michael Negnevitsky

  • A Novel Control Strategy for a Variable-Speed Wind Turbine With a Permanent-Magnet Synchronous Generator

    M.E. Haque;M. Negnevitsky;K.M. Muttaqi

  • Very short-term wind forecasting for Tasmanian power generation

    C.W. Potter;M. Negnevitsky

  • A review of air-cooling battery thermal management systems for electric and hybrid electric vehicles

    Gang Zhao;Xiaolin Wang;Michael Negnevitsky;Hengyun Zhang

  • An up-to-date review on the design improvement and optimization of the liquid-cooling battery thermal management system for electric vehicles

    Unknown

  • Pool-Based Demand Response Exchange—Concept and Modeling

    Duy Thanh Nguyen;Michael Negnevitsky;Martin de Groot

  • Distributed generation for minimization of power losses in distribution systems

    M.A. Kashem;A.D.T. Le;M. Negnevitsky;G. Ledwich

  • Connecting battery technologies for electric vehicles from battery materials to management

    Unknown

  • A Novel Operation and Control Strategy for a Standalone Hybrid Renewable Power System

    A. M. O. Haruni;M. Negnevitsky;M. E. Haque;A. Gargoom

  • A Neural-Fuzzy Classifier for Recognition of Power Quality Disturbances

    Jiansheng Huang;M. Negnevitsky;D.T. Nguyen

  • A Coordinated Voltage Control Approach for Coordination of OLTC, Voltage Regulator, and DG to Regulate Voltage in a Distribution Feeder

    Kashem M. Muttaqi;An D. T. Le;Michael Negnevitsky;Gerard Ledwich

  • Risk Assessment for Power System Operation Planning With High Wind Power Penetration

    Michael Negnevitsky;Dinh Hieu Nguyen;Marian Piekutowski

  • Innovative Short-Term Wind Generation Prediction Techniques

    M. Negnevitsky;C.W. Potter

  • Control of a stand alone variable speed wind turbine with a permanent magnet synchronous generator

    M.E. Haque;K.M. Muttaqi;M. Negnevitsky

  • Short term wind power forecasting using hybrid intelligent systems

    M. Negnevitsky;P. Johnson;S. Santoso

  • Melting and solidification characteristics of a semi-rotational eccentric tube horizontal latent heat thermal energy storage

    Unknown

  • Optimal Distributed Generation Parameters for Reducing Losses with Economic Consideration

    A.D.T. Le;M.A. Kashem;M. Negnevitsky;G. Ledwich

  • Dynamic operation and control of a hybrid wind-diesel stand alone power systems

    A. M. O. Haruni;A. Gargoom;M. E. Haque;M. Negnevitsky

  • Walrasian Market Clearing for Demand Response Exchange

    Duy Thanh Nguyen;M. Negnevitsky;M. de Groot

  • Review of AI applications in harmonic analysis in power systems

    Ahmadreza Eslami;Michael Negnevitsky;Evan Franklin;Sarah Lyden

  • An Algebraic Approach for Determination of DG Parameters to Support Voltage Profiles in Radial Distribution Networks

    K. M. Muttaqi;An D. T. Le;M. Negnevitsky;G. Ledwich

  • Machine Learning Applications for Load, Price and Wind Power Prediction in Power Systems

    Michael Negnevitsky;Paras Mandal;Anurag K. Srivastava

  • Market-Based Demand Response Scheduling in a Deregulated Environment

    Duy Thanh Nguyen;Michael Negnevitsky;Martin de Groot

  • Pool-based Demand Response Exchange: Concept and modeling

    Thanh Nguyen;Michael Negnevitsky;Martin de Groot

Frequent Co-Authors

Kashem M. Muttaqi
Kashem M. Muttaqi University of Wollongong
Gerard Ledwich
Gerard Ledwich Queensland University of Technology
Xiaolin Wang
Xiaolin Wang University of Tasmania
Paras Mandal
Paras Mandal The University of Texas at El Paso
Anurag K. Srivastava
Anurag K. Srivastava West Virginia University
Christian Rehtanz
Christian Rehtanz TU Dortmund University
Surya Santoso
Surya Santoso The University of Texas at Austin
Pooya Davari
Pooya Davari Aalborg University
Frede Blaabjerg
Frede Blaabjerg Aalborg University
Jovica V. Milanovic
Jovica V. Milanovic University of Manchester

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