D-Index & Metrics Best Publications

Michael Negnevitsky

University of Tasmania
Australia

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name Citations Publications World Ranking National Ranking

Engineering and Technology D-index 34 Citations 10,778 417 World Ranking 5504 National Ranking 252

Overview

What is he best known for?

The fields of study Michael Negnevitsky is best known for:

Electricity generation
Wind power
Electric power transmission

Among his Microeconomics studies, you can observe a synthesis of other disciplines of science such as Industrial organization and Supply and demand. Michael Negnevitsky integrates Industrial organization with Microeconomics in his research. Michael Negnevitsky conducts interdisciplinary study in the fields of Electrical engineering and Control engineering through his works. His Quantum mechanics study frequently links to related topics such as Generator (circuit theory). His Generator (circuit theory) study frequently links to other fields, such as Power (physics). As part of his studies on Power (physics), he often connects relevant areas like Electric power system. His Electric power system study frequently draws parallels with other fields, such as Wind power forecasting. As part of his studies on Artificial intelligence, Michael Negnevitsky often connects relevant subjects like Control (management). Michael Negnevitsky combines topics linked to Control theory (sociology) with his work on Control (management).

His most cited work include:

A Novel Control Strategy for a Variable-Speed Wind Turbine With a Permanent-Magnet Synchronous Generator (454 citations)
Very Short-Term Wind Forecasting for Tasmanian Power Generation (315 citations)
Pool-Based Demand Response Exchange—Concept and Modeling (187 citations)

What are the main themes of his work throughout his whole career to date

Michael Negnevitsky combines topics linked to Renewable energy, Voltage, Wind power and Electricity with his work on Electrical engineering. His research links Electrical engineering with Renewable energy. Voltage is often connected to Quantum mechanics in his work. His Electric power system research extends to the thematically linked field of Quantum mechanics. Electric power system and Energy storage are all intrinsically tied to his study in Power (physics). Michael Negnevitsky regularly ties together related areas like Control theory (sociology) in his Artificial intelligence studies. Michael Negnevitsky regularly ties together related areas like Control (management) in his Control theory (sociology) studies. His research ties Artificial intelligence and Control (management) together. His study brings together the fields of Diesel fuel and Automotive engineering.

Michael Negnevitsky most often published in these fields:

Electrical engineering (72.73%)
Power (physics) (59.09%)
Quantum mechanics (54.55%)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Artificial Intelligence: A Guide to Intelligent Systems

Michael Negnevitsky.
(2001)

3944 Citations

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

M.E. Haque;M. Negnevitsky;K.M. Muttaqi.
IEEE Transactions on Industry Applications (2010)

1661 Citations

Very short-term wind forecasting for Tasmanian power generation

C.W. Potter;M. Negnevitsky.
IEEE Transactions on Power Systems (2006)

473 Citations

Pool-Based Demand Response Exchange—Concept and Modeling

Duy Thanh Nguyen;Michael Negnevitsky;Martin de Groot.
IEEE Transactions on Power Systems (2011)

263 Citations

Distributed generation for minimization of power losses in distribution systems

M.A. Kashem;A.D.T. Le;M. Negnevitsky;G. Ledwich.
2006 IEEE Power Engineering Society General Meeting (2006)

240 Citations

A Neural-Fuzzy Classifier for Recognition of Power Quality Disturbances

Jiansheng Huang;M. Negnevitsky;D.T. Nguyen.
IEEE Power & Energy Magazine (2001)

173 Citations

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

A. M. O. Haruni;M. Negnevitsky;M. E. Haque;A. Gargoom.
IEEE Transactions on Sustainable Energy (2013)

154 Citations

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.
IEEE Transactions on Industry Applications (2015)

140 Citations

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

M.E. Haque;K.M. Muttaqi;M. Negnevitsky.
power and energy society general meeting (2008)

136 Citations

Short term wind power forecasting using hybrid intelligent systems

M. Negnevitsky;P. Johnson;S. Santoso.
2007 IEEE Power Engineering Society General Meeting (2007)

125 Citations

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Frequent Co-Authors

External Links

Personal Website for Michael Negnevitsky