Follow
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
44902005
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
9212008
Very short-term wind forecasting for Tasmanian power generation
CW Potter, M Negnevitsky
IEEE Transactions on power systems 21 (2), 965-972, 2006
5262006
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
2772010
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
2642006
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
2482021
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
2252002
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
1842012
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
1532015
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
1492014
Short term wind power forecasting using hybrid intelligent systems
M Negnevitsky, PL Johnson, S Santoso
1432007
Innovative short-term wind generation prediction techniques
M Negnevitsky, CW Potter
2006 IEEE PES Power Systems Conference and Exposition, 60-65, 2006
1132006
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
1122007
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
1072010
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
1022014
Walrasian market clearing for demand response exchange
DT Nguyen, M Negnevitsky, M de Groot
IEEE Transactions on Power Systems 27 (1), 535-544, 2011
972011
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
942009
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
912013
A guide to intelligent systems
M Negnevitsky, A Intelligence
Artificial Intelligence, 2005
832005
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
822018
The system can't perform the operation now. Try again later.
Articles 1–20