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Narayanan Kumarappan
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- affiliation: Annamalai University, Department of Electrical Engineering
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2010 – 2019
- 2019
- [j9]Vigneysh Thangavel, Narayanan Kumarappan:
Grid Interconnection of Renewable Energy Sources Using Unified Power Quality Conditioner: A Fuzzy Logic-Based Approach. J. Circuits Syst. Comput. 28(8): 1950135:1-1950135:19 (2019) - 2018
- [c10]R. Arulraj, Narayanan Kumarappan:
Hybrid WIPSO-GSA Algorithm Based Optimal DG and Capacitor Planning Considering Different Load Types and Load Levels. CEC 2018: 1-8 - 2017
- [j8]Vigneysh Thangavel, Narayanan Kumarappan:
An adaptive fuzzy PI controller for Performance enhancement of Microgrid Power Quality conditioner. Control. Intell. Syst. 45(4) (2017) - [c9]Vigneysh Thangavel, Narayanan Kumarappan:
Enhanced operation of grid-connected photovoltaic system using interval type-2 fuzzy control. CEC 2017: 1191-1198 - [c8]Vigneysh Thangavel, Narayanan Kumarappan:
Stability analysis and dynamic performance enhancement of autonomous microgrid using adaptive fuzzy PI controller. CEC 2017: 1199-1206 - 2016
- [j7]Vigneysh Thangavel, Narayanan Kumarappan:
Artificial Neural Network Based Droop-Control Technique for Accurate Power Sharing in an Islanded Microgrid. Int. J. Comput. Intell. Syst. 9(5): 827-838 (2016) - [c7]Narayanan Kumarappan, R. Arulraj:
Optimal installation of multiple DG units using competitive swarm optimizer (CSO) algorithm. CEC 2016: 3955-3960 - 2015
- [j6]K. Gayathri, Narayanan Kumarappan:
Double Circuit EHV Transmission Lines Fault Location with RBF Based Support Vector Machine and Reconstructed Input Scaled Conjugate Gradient Based Neural Network. Int. J. Comput. Intell. Syst. 8(1): 95-105 (2015) - 2013
- [j5]S. Anbazhagan, Narayanan Kumarappan:
Day-Ahead Deregulated Electricity Market Price Forecasting Using Recurrent Neural Network. IEEE Syst. J. 7(4): 866-872 (2013) - [j4]K. Suresh, Narayanan Kumarappan:
Hybrid improved binary particle swarm optimization approach for generation maintenance scheduling problem. Swarm Evol. Comput. 9: 69-89 (2013) - [c6]S. Anbazhagan, K. Pravin, Narayanan Kumarappan:
Classification of day-ahead prices in Asia's first liberalized electricity market using PNN. CIES 2013: 176-179 - [c5]K. Suresh, Narayanan Kumarappan:
Coordination mechanism of maintenance scheduling using modified PSO in a restructured power market. CISched 2013: 36-43 - [c4]S. Anbazhagan, Narayanan Kumarappan:
Classification of Day-Ahead Deregulated Electricity Market Prices Using DCT-CFNN. SEMCCO (2) 2013: 499-510 - [c3]R. Ashok Bakkiyaraj, Narayanan Kumarappan:
Particle Swarm Optimization Based Optimal Reliability Design of Composite Electric Power System Using Non-sequential Monte Carlo Sampling and Generalized Regression Neural Network. SEMCCO (1) 2013: 580-589 - 2011
- [j3]S. Anbazhagan, Narayanan Kumarappan:
Day-Ahead Price Forecasting in Asia's First Liberalized Electricity Market using Artificial Neural Networks. Int. J. Comput. Intell. Syst. 4(4): 476-485 (2011) - [j2]K. Gayathri, Narayanan Kumarappan:
Fault classification approach for double circuit transmission lines using wavelet transforms. Int. J. Model. Identif. Control. 12(3): 253-263 (2011) - 2010
- [j1]K. Gayathri, Narayanan Kumarappan:
Accurate fault location on EHV lines using both RBF based support vector machine and SCALCG based neural network. Expert Syst. Appl. 37(12): 8822-8830 (2010) - [c2]R. Ashok Bakkiyaraj, Narayanan Kumarappan:
Evaluation of composite reliability indices based on non-sequential Monte Carlo simulation and particle swarm optimization. IEEE Congress on Evolutionary Computation 2010: 1-5 - [c1]Narayanan Kumarappan, Kaliyamoorthy Suresh:
Particle Swarm Optimization based Maintenance Scheduling using levelized risk method and evaluation of system well being index. IEEE Congress on Evolutionary Computation 2010: 1-7
Coauthor Index
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