1 |
Static and dynamic photovoltaic models' parameters identification using Chaotic Heterogeneous Comprehensive Learning Particle Swarm Optimizer variants Yousri D, Allam D, Eteiba MB, Suganthan PN Energy Conversion and Management, 182, 546, 2019 |
2 |
Parameter estimation of solar cells using datasheet information with the application of an adaptive differential evolution algorithm Biswas PP, Suganthan PN, Wu GH, Amaratunga GAJ Renewable Energy, 132, 425, 2019 |
3 |
Multiobjective economic-environmental power dispatch with stochastic wind-solar-small hydro power Biswas PP, Suganthan PN, Qu BY, Amaratunga GAJ Energy, 150, 1039, 2018 |
4 |
Decomposition based multi-objective evolutionary algorithm for windfarm layout optimization Biswas PP, Suganthan PN, Amaratunga GAJ Renewable Energy, 115, 326, 2018 |
5 |
Optimal power flow solutions incorporating stochastic wind and solar power Biswas PP, Suganthan PN, Amaratunga GAJ Energy Conversion and Management, 148, 1194, 2017 |
6 |
Economic dispatch using hybrid grey wolf optimizer Jayabarathi T, Raghunathan T, Adarsh BR, Suganthan PN Energy, 111, 630, 2016 |
7 |
SPRED: A machine learning approach for the identification of classical and non-classical secretory proteins in mammalian genomes Kandaswamy KK, Pugalenthi G, Hartmann E, Kalies KU, Moller S, Suganthan PN, Martinetz T Biochemical and Biophysical Research Communications, 391(3), 1306, 2010 |
8 |
Prediction of functionally important sites from protein sequences using sparse kernel least squares classifiers Tang K, Pugalenthi G, Suganthan PN, Lanczycki CJ, Chakrabarti S Biochemical and Biophysical Research Communications, 384(2), 155, 2009 |
9 |
Identification of catalytic residues from protein structure using support vector machine with sequence and structural features Pugalenthi G, Kumar KK, Suganthan PN, Gangal R Biochemical and Biophysical Research Communications, 367(3), 630, 2008 |