Gehan A. J. Amaratunga
Orcid: 0000-0002-8614-2864Affiliations:
- University of Cambridge, UK
According to our database1,
Gehan A. J. Amaratunga
authored at least 44 papers
between 1990 and 2023.
Collaborative distances:
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Bibliography
2023
A Distributed Robust System-Wide State Estimation Method for Power Systems Based on Maximum Correntropy.
IEEE Trans. Ind. Informatics, December, 2023
An Agent-Based Distributed State Estimation Approach for Interconnected Power Systems.
IEEE Syst. J., June, 2023
2022
A Robust Dynamic State Estimation Method for Power Systems Using Exponential Absolute Value-Based Estimator.
IEEE Trans. Instrum. Meas., 2022
2021
IEEE Trans. Instrum. Meas., 2021
Interval State Estimation in Active Distribution Systems Considering Multiple Uncertainties.
Sensors, 2021
2020
Multi-objective optimal power flow solutions using a constraint handling technique of evolutionary algorithms.
Soft Comput., 2020
Proceedings of the MobileHCI '20: 22nd International Conference on Human-Computer Interaction with Mobile Devices and Services: Expanding the Horizon of Mobile Interaction, 2020
2019
IEEE Trans. Instrum. Meas., 2019
A Fully Integrated Split-Electrode SSHC Rectifier for Piezoelectric Energy Harvesting.
IEEE J. Solid State Circuits, 2019
Fusion of multiple indicators with ensemble incremental learning techniques for stock price forecasting.
J. Bank. Financial Technol., 2019
Optimal reactive power dispatch with uncertainties in load demand and renewable energy sources adopting scenario-based approach.
Appl. Soft Comput., 2019
2018
A Passive Design Scheme to Increase the Rectified Power of Piezoelectric Energy Harvesters.
IEEE Trans. Ind. Electron., 2018
Ensemble incremental learning Random Vector Functional Link network for short-term electric load forecasting.
Knowl. Based Syst., 2018
Optimal power flow solutions using differential evolution algorithm integrated with effective constraint handling techniques.
Eng. Appl. Artif. Intell., 2018
Ensemble Incremental Random Vector Functional Link Network for Short-term Crude Oil Price Forecasting.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018
Optimal Power Flow Solutions Using Algorithm Success History Based Adaptive Differential Evolution with Linear Population Reduction.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018
Improvement of power quality and reliability in the distribution system of petrochemical plants using active power filters.
Proceedings of the IEEE International Conference on Industrial Technology, 2018
Distribution Network Reconfiguration Together with Distributed Generator and Shunt Capacitor Allocation for Loss Minimization.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
2017
Oblique random forest ensemble via Least Square Estimation for time series forecasting.
Inf. Sci., 2017
Empirical Mode Decomposition based ensemble deep learning for load demand time series forecasting.
Appl. Soft Comput., 2017
Minimizing harmonic distortion in power system with optimal design of hybrid active power filter using differential evolution.
Appl. Soft Comput., 2017
A multiobjective approach for optimal placement and sizing of distributed generators and capacitors in distribution network.
Appl. Soft Comput., 2017
Short-term wind power ramp forecasting with empirical mode decomposition based ensemble learning techniques.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Optimal reconfiguration and distributed generator allocation in distribution network using an advanced adaptive differential evolution.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Multi-functional DSTATCOM to improve power quality and energy efficiency in petrochemical plant.
Proceedings of the 2017 IEEE Innovative Smart Grid Technologies - Asia, 2017
Short-term Electricity Price Forecasting with Empirical Mode Decomposition based Ensemble Kernel Machines.
Proceedings of the International Conference on Computational Science, 2017
Stock Price Forecasting with Empirical Mode Decomposition Based Ensemble \nu -Support Vector Regression Model.
Proceedings of the Computational Intelligence, Communications, and Business Analytics, 2017
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
Minimizing THD of multilevel inverters with optimal values of DC voltages and switching angles using LSHADE-EpSin algorithm.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
2016
Random vector functional link network for short-term electricity load demand forecasting.
Inf. Sci., 2016
Optimization of Wind Turbine Rotor Diameters and Hub Heights in a Windfarm Using Differential Evolution Algorithm.
Proceedings of Sixth International Conference on Soft Computing for Problem Solving, 2016
Electricity load demand time series forecasting with Empirical Mode Decomposition based Random Vector Functional Link network.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016
2015
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015
Generation profile shape dependent performance of mobility imbalanced organic solar cells.
Proceedings of the 10th IEEE International Conference on Industrial and Information Systems, 2015
Proceedings of the 10th IEEE International Conference on Industrial and Information Systems, 2015
2014
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Ensemble Learning, 2014
2013
Switch mode constant current LED Driver with high efficiency, high precision and wide dimming ratio.
Proceedings of the IECON 2013, 2013
2012
2008
IEEE Trans. Ind. Electron., 2008
2007
IEEE Trans. Circuits Syst. I Regul. Pap., 2007
IET Circuits Devices Syst., 2007
2006
Proceedings of the IEEE 2006 Custom Integrated Circuits Conference, 2006
1990
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 1990