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Michael Negnevitsky
Michael Negnevitsky
Professor, Chair in Power Engineering and Computational Intelligence
Verified email at utas.edu.au - Homepage
Title
Cited by
Cited by
Year
Artificial intelligence: a guide to intelligent systems
M Negnevitsky
Pearson education, 2005
45502005
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
9312008
Very short-term wind forecasting for Tasmanian power generation
CW Potter, M Negnevitsky
IEEE Transactions on power systems 21 (2), 965-972, 2006
5302006
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
3062021
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
2822010
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
2692006
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
2342002
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
1862012
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
1602014
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
1592015
Short term wind power forecasting using hybrid intelligent systems
M Negnevitsky, PL Johnson, S Santoso
1462007
An up-to-date review on the design improvement and optimization of the liquid-cooling battery thermal management system for electric vehicles
G Zhao, X Wang, M Negnevitsky, C Li
Applied Thermal Engineering 219, 119626, 2023
1322023
Innovative short-term wind generation prediction techniques
M Negnevitsky, CW Potter
2006 IEEE PES Power Systems Conference and Exposition, 60-65, 2006
1152006
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
1102007
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
1082010
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
1062014
Walrasian market clearing for demand response exchange
DT Nguyen, M Negnevitsky, M de Groot
IEEE Transactions on Power Systems 27 (1), 535-544, 2011
982011
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
952009
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
902018
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
902013
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