Artificial intelligence: a guide to intelligent systems M Negnevitsky Pearson education, 2005 | 4487 | 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 | 922 | 2008 |
Very short-term wind forecasting for Tasmanian power generation CW Potter, M Negnevitsky IEEE Transactions on power systems 21 (2), 965-972, 2006 | 526 | 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 | 280 | 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 | 265 | 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 | 251 | 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 | 228 | 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 | 182 | 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 | 155 | 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 | 151 | 2014 |
Short term wind power forecasting using hybrid intelligent systems M Negnevitsky, PL Johnson, S Santoso | 142 | 2007 |
Innovative short-term wind generation prediction techniques M Negnevitsky, CW Potter 2006 IEEE PES Power Systems Conference and Exposition, 60-65, 2006 | 114 | 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 | 110 | 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 | 107 | 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 | 104 | 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 | 98 | 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 | 94 | 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 | 90 | 2013 |
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 | 81 | 2018 |
Compressed air energy storage: Thermodynamic and economic review A Rogers, A Henderson, X Wang, M Negnevitsky 2014 IEEE PES general meeting| conference & exposition, 1-5, 2014 | 81 | 2014 |