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ORCIDMichael Negnevitsky
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2020 – today
- 2024
[j14]Izaac K. Denholm
, Waqas Hassan, Michael Negnevitsky, Dylan Dah-Chuan Lu:
Optimized Interleaved Ultra-High Gain DC-DC Power Converter With Low Ripple Input Current and Voltage Stress for Fuel Cell Systems. IEEE Access 12: 121052-121063 (2024)- 2022
- [j13]Ahmadreza Eslami, Michael Negnevitsky, Evan Franklin, Sarah Lyden:
Harmonic Current Estimation of Unmonitored Harmonic Sources With a Novel Oversampling Technique for Limited Datasets. IEEE Access 10: 68897-68914 (2022)
2010 – 2019
- 2019
- [j12]Ahmad Tavakoli, Michael Negnevitsky, Sajeeb Saha, Md. Enamul Haque, Mohammad Taufiqul Arif, Javier Contreras, Aman Maung Than Oo:
Self-Scheduling of a Generating Company With an EV Load Aggregator Under an Energy Exchange Strategy. IEEE Trans. Smart Grid 10(4): 4253-4264 (2019) - 2018
- [i1]Nikita V. Tomin, Victor G. Kurbatsky, Michael Negnevitsky:
The Concept of the Deep Learning-Based System "Artificial Dispatcher" to Power System Control and Dispatch. CoRR abs/1805.05408 (2018) - 2017
- [c33]Michael Negnevitsky, Mark Jyn-Huey Lim, Jacky Hartnett:
Analysis of E-mail communication activities for detecting patterns of pathological behaviour. FRUCT 2017: 322-327 - [c32]Seyed Behzad Naderi, Michael Negnevitsky, Kashem M. Muttaqi:
A modified DC chopper for limiting the fault current and controlling the DC link voltage to enhance ride-through capability of doubly-fed induction generator based wind turbine. IAS 2017: 1-8 - [c31]Michael Negnevitsky:
Identification of failing banks using Clustering with self-organising neural networks. ICCS 2017: 1327-1333 - 2016
- [j11]Michael Negnevitsky, Dusan Nikolic, Martin de Groot:
Adaptive Neuro-Fuzzy Synchronization in Isolated Power Systems with High Wind Penetration. J. Adv. Comput. Intell. Intell. Informatics 20(3): 418-428 (2016) - [c30]Michael Negnevitsky:
Design of a fuzzy controller: Some experience. CoDIT 2016: 785-789 - [c29]Michael Negnevitsky:
Computational Intelligence Applications to Crisis Management in Power Systems. IntelliSys (1) 2016: 476-501 - 2015
- [j10]Andrew Heyman, Leon Reznik, Michael Negnevitsky, Andrew Hoffman:
Fuzzy System Design for Security and Environment Control Applications. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 23(Supplement-1): 43-56 (2015) - [j9]Polycarp I. Muoka, Md. Enamul Haque, Ameen Gargoom, Michael Negnevitsky:
DSP-Based Hands-On Laboratory Experiments for Photovoltaic Power Systems. IEEE Trans. Educ. 58(1): 39-47 (2015) - [c28]Seyed Behzad Naderi, Michael Negnevitsky, Amin Jalilian, Mehrdad Tarafdar Hagh, Kashem M. Muttaqi:
Optimum resistive type fault current limiter: An efficient solution to achieve maximum fault ride-through capability of fixed speed wind turbines during symmetrical and asymmetrical grid faults. IAS 2015: 1-8 - [c27]Ahmad Tavakoli, Michael Negnevitsky, Kashem M. Muttaqi:
A decentralized model predictive control for multiple distributed generators in the islanded mode of operation. IAS 2015: 1-8 - 2014
- [j8]Michael Negnevitsky, Nikita V. Tomin, Christian Rehtanz:
Preventing Large-Scale Emergencies in Modern Power Systems: AI Approach. J. Adv. Comput. Intell. Intell. Informatics 18(5): 714-727 (2014) - [j7]Kashem M. Muttaqi, An D. T. Le, Michael Negnevitsky, Gerard Ledwich:
An Algebraic Approach for Determination of DG Parameters to Support Voltage Profiles in Radial Distribution Networks. IEEE Trans. Smart Grid 5(3): 1351-1360 (2014) - [c26]Kashem M. Muttaqi, An D. T. Le, Michael Negnevitsky, Gerard Ledwich:
A novel tuning method for advanced line drop compensator and its application to response coordination of distributed generation with voltage regulating devices. IAS 2014: 1-8 - [c25]Michael Negnevitsky, Nikita V. Tomin, Daniil A. Panasetsky, Ulf Häger, Nikolai I. Voropai, Christian Rehtanz, Victor G. Kurbatsky:
Neural Multi-agent-based Approach for Preventing Blackouts in Power Systems. ICAART (1) 2014: 565-570 - [c24]Michael Negnevitsky, Nikita V. Tomin, Daniil A. Panasetsky, Nikolai I. Voropai, Victor G. Kurbatsky, Ulf Häger, Christian Rehtanz:
Preventing large-scale blackouts in power systems under uncertainty. PSCC 2014: 1-7 - [c23]Marc Osthues, Christian Rehtanz, Gerardo Blanco, Michael Negnevitsky:
Real options on power system planning under uncertainties and efficiency constraints. PSCC 2014: 1-7 - 2013
- [j6]Duy Thanh Nguyen, Michael Negnevitsky, Martin de Groot:
Market-Based Demand Response Scheduling in a Deregulated Environment. IEEE Trans. Smart Grid 4(4): 1948-1956 (2013) - [c22]D. Das, Md. Enamul Haque, M. M. Chowdhury, Ameen Gargoom, Michael Negnevitsky, Kashem M. Muttaqi:
A novel control scheme of NPC VSC based STATCOM to enhance the performance of wind farm with fixed and variable speed wind turbines. IAS 2013: 1-8 - [c21]Kashem M. Muttaqi, An D. T. Le, Michael Negnevitsky, Gerard Ledwich:
A coordinated voltage control approach for coordination of OLTC, voltage regulator and DG to regulate voltage in a distribution feeder. IAS 2013: 1-8 - [c20]M. M. Chowdhury, Md. Enamul Haque, Ameen Gargoom, Michael Negnevitsky:
Performance improvement of a grid connected direct drive wind turbine using super-capacitor energy storage. ISGT 2013: 1-6 - [c19]Polycarp I. Muoka, Md. Enamul Haque, Ameen Gargoom, Michael Negnevitsky:
Modeling, simulation and hardware implementation of a PV power plant in a distributed energy generation system. ISGT 2013: 1-6 - 2011
- [j5]Clement N. Nyirenda, Dawoud S. Dawoud, Fangyan Dong, Michael Negnevitsky, Kaoru Hirota:
A Fuzzy Multiobjective Particle Swarm Optimized TS Fuzzy Logic Congestion Controller for Wireless Local Area Networks. J. Adv. Comput. Intell. Intell. Informatics 15(1): 41-54 (2011) - 2010
- [j4]Abu Mohammad, Osman Haruni, Michael Negnevitsky:
An Artificial Intelligence Approach to Develop a Time-Series Prediction Model of the Arc Furnace Resistance. J. Adv. Comput. Intell. Intell. Informatics 14(6): 722-728 (2010)
2000 – 2009
- 2009
- [c18]Michael Negnevitsky:
Hybrid Neuro-Fuzzy Systems: Heterogeneous and Homogeneous Structures. CSIE (2) 2009: 533-540 - 2008
- [j3]Michael Negnevitsky:
Computational intelligence applications to crisis management in power systems. Int. J. Autom. Control. 2(2/3): 247-273 (2008) - [c17]J. S. Huang, Michael Negnevitsky:
A Messy Genetic Algorithm Based Optimization Scheme for SVC Placement of Power Systems under Critical Operation Contingence. CSSE (1) 2008: 467-472 - [c16]Md. Enamul Haque, Michael Negnevitsky, Kashem M. Muttaqi:
A Novel Control Strategy for a Variable Speed Wind Turbine with a Permanent Magnet Synchronous Generator. IAS 2008: 1-8 - [c15]Paras Mandal, Anurag K. Srivastava, Michael Negnevitsky, Jung-Wook Park:
An Effort to Optimize Similar Days Parameters for ANN Based Electricity Price Forecasting. IAS 2008: 1-9 - 2007
- [c14]Mark Jyn-Huey Lim, Michael Negnevitsky, Jacky Hartnett:
Detecting Abnormal Changes in E-mail Traffic Using Hierarchical Fuzzy Systems. FUZZ-IEEE 2007: 1-6 - 2006
- [j2]Mark Jyn-Huey Lim, Michael Negnevitsky, Jacky Hartnett:
Personality Trait Based Simulation Model of the E-mail System. Int. J. Netw. Secur. 3(2): 172-190 (2006) - [c13]Mark Jyn-Huey Lim, Michael Negnevitsky, Jacky Hartnett:
E-mail Traffic Analysis Using Visualisation and Decision Trees. ISI 2006: 680-681 - 2005
- [c12]Michael Negnevitsky:
Multi-Layer Neural Networks with Improved Learning Algorithms. DICTA 2005: 34 - 2004
- [c11]Cameron Potter, Michael Negnevitsky:
ANFIS application to competition on artificial time series (CATS). FUZZ-IEEE 2004: 469-474 - [c10]Michael Negnevitsky:
Design of a hybrid neuro-fuzzy decision-support system with a heterogeneous structure. FUZZ-IEEE 2004: 1049-1052 - 2002
- [c9]Leon Reznik, Michael Negnevitsky:
A neuro-fuzzy method of power disturbances recognition and reduction. FUZZ-IEEE 2002: 1517-1522 - 2001
- [c8]Michael Negnevitsky, Galina Kelareva:
Air Quality Prediction Using a Neuro-Fuzzy System. FUZZ-IEEE 2001: 481-484 - [c7]Michael Negnevitsky:
Design of a Fuzzy Controller: Some Experience by M Negnevitsky. FUZZ-IEEE 2001: 912-915 - 2000
- [j1]Michael Negnevitsky, Martin J. Ringrose:
Fuzzy Control of Back-Propagation Training. J. Adv. Comput. Intell. Intell. Informatics 4(6): 408-411 (2000)
1990 – 1999
- 1999
- [c6]J. S. Huang, Duy Thanh Nguyen, Michael Negnevitsky, C. J. E. Phillips:
Correlation properties of wavelet transform and applications in image coding. ISSPA 1999: 611-614 - 1997
- [c5]Michael Negnevitsky, Tan Loc Le:
Neural Expert System for Loading of Overhead Lines. ICONIP (2) 1997: 797-800 - [c4]P. Ha, Michael Negnevitsky:
Variable-Structured Systems with Fuzzy Tuning for Power Generation Control. ICONIP (2) 1997: 1271-1274 - 1996
- [c3]P. Gale, Michael Negnevitsky:
An expert system based aid for anode optimisation. ANZIIS 1996: 18-21 - [c2]Quang Phuc Ha, Michael Negnevitsky, Z. Man:
Sliding mode control with fuzzy tuning. ANZIIS 1996: 216-219 - 1995
- [c1]Michael Negnevitsky, Tan Loc Le:
Artificial neural networks application for current rating of overhead lines. ICNN 1995: 418-422
Coauthor Index
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