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).
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.
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Artificial Intelligence: A Guide to Intelligent Systems
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)
Very short-term wind forecasting for Tasmanian power generation
C.W. Potter;M. Negnevitsky.
IEEE Transactions on Power Systems (2006)
Pool-Based Demand Response Exchange—Concept and Modeling
Duy Thanh Nguyen;Michael Negnevitsky;Martin de Groot.
IEEE Transactions on Power Systems (2011)
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)
A Neural-Fuzzy Classifier for Recognition of Power Quality Disturbances
Jiansheng Huang;M. Negnevitsky;D.T. Nguyen.
IEEE Power & Energy Magazine (2001)
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)
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)
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)
Short term wind power forecasting using hybrid intelligent systems
M. Negnevitsky;P. Johnson;S. Santoso.
2007 IEEE Power Engineering Society General Meeting (2007)
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