Michael Negnevitsky
Michael Negnevitsky
Professor, Chair in Power Engineering and Computational Intelligence
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Cited by
Cited by
Artificial intelligence: a guide to intelligent systems
M Negnevitsky
Pearson education, 2005
A novel control strategy for a variable speed wind turbine with a permanent magnet synchronous generator
ME Haque, M Negnevitsky, KM Muttaqi
2008 IEEE industry applications society annual meeting, 1-8, 2008
Very short-term wind forecasting for Tasmanian power generation
CW Potter, M Negnevitsky
IEEE Transactions on power systems 21 (2), 965-972, 2006
Pool-based demand response exchange—concept and modeling
DT Nguyen, M Negnevitsky, M De Groot
IEEE Transactions on Power Systems 26 (3), 1677-1685, 2010
Distributed generation for minimization of power losses in distribution systems
MA Kashem, ADT Le, M Negnevitsky, G Ledwich
2006 IEEE Power Engineering Society General Meeting, 8 pp., 2006
A review of air-cooling battery thermal management systems for electric and hybrid electric vehicles
G Zhao, X Wang, M Negnevitsky, H Zhang
Journal of Power Sources 501, 230001, 2021
A neural-fuzzy classifier for recognition of power quality disturbances
J Huang, M Negnevitsky, DT Nguyen
IEEE transactions on power delivery 17 (2), 609-616, 2002
A novel operation and control strategy for a standalone hybrid renewable power system
AMO Haruni, M Negnevitsky, ME Haque, A Gargoom
IEEE transactions on sustainable energy 4 (2), 402-413, 2012
A coordinated voltage control approach for coordination of OLTC, voltage regulator, and DG to regulate voltage in a distribution feeder
KM Muttaqi, ADT Le, M Negnevitsky, G Ledwich
IEEE Transactions on Industry Applications 51 (2), 1239-1248, 2015
Risk assessment for power system operation planning with high wind power penetration
M Negnevitsky, DH Nguyen, M Piekutowski
IEEE Transactions on Power Systems 30 (3), 1359-1368, 2014
Short term wind power forecasting using hybrid intelligent systems
M Negnevitsky, PL Johnson, S Santoso
Innovative short-term wind generation prediction techniques
M Negnevitsky, CW Potter
2006 IEEE PES Power Systems Conference and Exposition, 60-65, 2006
Optimal distributed generation parameters for reducing losses with economic consideration
ADT Le, MA Kashem, M Negnevitsky, G Ledwich
2007 IEEE Power Engineering Society General Meeting, 1-8, 2007
Dynamic operation and control of a hybrid wind-diesel stand alone power systems
AMO Haruni, A Gargoom, ME Haque, M Negnevitsky
2010 Twenty-Fifth Annual IEEE Applied Power Electronics Conference and …, 2010
An algebraic approach for determination of DG parameters to support voltage profiles in radial distribution networks
KM Muttaqi, ADT Le, M Negnevitsky, G Ledwich
IEEE Transactions on Smart Grid 5 (3), 1351-1360, 2014
Walrasian market clearing for demand response exchange
DT Nguyen, M Negnevitsky, M de Groot
IEEE Transactions on Power Systems 27 (1), 535-544, 2011
Machine learning applications for load, price and wind power prediction in power systems
M Negnevitsky, P Mandal, AK Srivastava
2009 15th International Conference on Intelligent System Applications to …, 2009
Market-based demand response scheduling in a deregulated environment
DT Nguyen, M Negnevitsky, M de Groot
IEEE Transactions on Smart Grid 4 (4), 1948-1956, 2013
A guide to intelligent systems
M Negnevitsky, A Intelligence
Artificial Intelligence, 2005
Grey wolf optimization-based optimum energy-management and battery-sizing method for grid-connected microgrids
KS Nimma, MDA Al-Falahi, HD Nguyen, SDG Jayasinghe, TS Mahmoud, ...
Energies 11 (4), 847, 2018
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