Chathura Wanigasekara

According to our database, Chathura Wanigasekara authored at least 23 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Mitigating Cyber Risks in Smart Cyber-Physical Power Systems Through Deep Learning and Hybrid Security Models.

M. A. S. P. Dayarathne, M. S. M. Jayathilaka, R. M. V. A. Bandara, V. Logeeshan, S. Kumarawadu, Chathura Wanigasekara

IEEE Access, 2025

2024

Advanced Genetic Algorithm for Optimal Microgrid Scheduling Considering Solar and Load Forecasting, Battery Degradation, and Demand Response Dynamics.

W. M. N. Witharama, K. M. D. P. Bandara, M. I. Azeez, Kasun Bandara, V. Logeeshan, Chathura Wanigasekara

IEEE Access, 2024

Consensus-Based Load Frequency Control of a Multi-Area Power System.

Ravi Patel, Chathura Wanigasekara, Akshya Swain, Abhisek Ukil

IEEE Access, 2024

Accurate Prediction of Remaining Useful Life for Lithium-ion Battery Cells Using Deep Neural Networks.

Shamaltha M. Wickramaarachchi, S. A. Dewmini Suraweera, D. M. Pasindu Akalanka, V. Logeeshan, Chathura Wanigasekara

Proceedings of the IEEE World AI IoT Congress, 2024

Development of Deep Learning Model to Detect Cyber-Attacks within Vehicular Networks.

R. D. Sandakelum, V. H. Liyanage, P. M. Chandrasekara, V. Logeeshan, S. Kumarawadu, Chathura Wanigasekara

Proceedings of the IEEE World AI IoT Congress, 2024

Deep Learning-Based Cyber Attack Detection in Power Grids with Increasing Renewable Energy Penetration.

M. A. S. P. Dayarathne, M. S. M. Jayathilaka, R. M. V. A. Bandara, V. Logeeshan, S. Kumarawadu, Chathura Wanigasekara

Proceedings of the IEEE World AI IoT Congress, 2024

Self-Adaptive Non-Intrusive Load Monitoring Using Deep Learning.

S. M. L. Arampola, M. S. K. Nisakya, W. A. Yasodya, S. Kumarawadu, V. Logeeshan, Chathura Wanigasekara

Proceedings of the IEEE World AI IoT Congress, 2024

2023

Robust Control of Autonomous Underwater Vehicles Using Delta-Sigma-Based 1-bit Controllers.

Chathura Wanigasekara, Frank Sill Torres, Akshya Swain

IEEE Access, 2023

Deep Learning Based Non-Intrusive Load Monitoring for a Three-Phase System.

Balarupan Gowrienanthan, N. Kiruthihan, K. D. I. S. Rathnayake, S. Kiruthikan, Logeeshan Velmanickam, S. Kumarawadu, Chathura Wanigasekara

IEEE Access, 2023

Optimal Scheduling of a Solar-Powered Microgrid Using ML-Based Solar and Load Forecasting.

W. M. N. Witharama, K. M. D. P. Bandara, M. I. Azeez, Muditha Adhikari, Kasun Bandara, V. Logeeshan, Chathura Wanigasekara

Proceedings of the 2023 IEEE World AI IoT Congress (AIIoT), 2023

A Data-Driven Approach Based on Artificial Neural Networks for the Detection and Classification of Bearing Anomalies in Power Generation Plants.

S. I. Senarathna, L. A. U. Prasanshi, S. D. W. Senanayake, Dhammike Wimalarathne, S. Kumarawadu, V. Logeeshan, Chathura Wanigasekara

Proceedings of the 2023 IEEE World AI IoT Congress (AIIoT), 2023

Maximizing Efficiency in Commercial Power Systems with an Optimized Load Classification and Identification Method Using Deep Learning and Ensemble Techniques.

M. J. S. Kulathilaka, S. Saravanan, H. D. H. P. Kumarasiri, V. Logeeshan, S. Kumarawadu, Chathura Wanigasekara

Proceedings of the 2023 IEEE World AI IoT Congress (AIIoT), 2023

Enhanced Fault Classification and Localization in Microgrids Using Machine Learning.

J. A. R. R. Jayasinghe, J. H. E. Malindi, R. M. A. M. Rajapaksha, V. Logeeshan, Chathura Wanigasekara

Proceedings of the 2023 IEEE World AI IoT Congress (AIIoT), 2023

2022

Delta Modulator Based Quantised State-Feedback Control of Networked Linear Systems.

Dhafer J. Almakhles, Chathura Wanigasekara, Akshya Swain

IEEE Access, 2022

A comparative investigation between memory-based and discrete event-triggered scheme in networked control systems.

Liruo Zhang, Chathura Wanigasekara, Akshya Swain

Proceedings of the 17th IEEE International Conference on Control & Automation, 2022

H∞ State-Feedback Consensus of Linear Multi-Agent Systems.

Chathura Wanigasekara, Liruo Zhang, Akshya Swain

Proceedings of the 17th IEEE International Conference on Control & Automation, 2022

2021

Machine learning-based inverse predictive model for AFP based thermoplastic composites.

Chathura Wanigasekara, Ebrahim Oromiehie, Akshya Swain, B. Gangadhara Prusty, Sing Kiong Nguang

J. Ind. Inf. Integr., 2021

Delta-Modulator-Based Quantised State Feedback Controller for T-S Fuzzy Networked Systems.

Chathura Wanigasekara, Liruo Zhang, Akshya Swain, Sing Kiong Nguang

Int. J. Fuzzy Syst., 2021

Generalised Controller Design Using Continual Learning.

Diana Benavides Prado, Chathura Wanigasekara, Akshya Swain

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020

Machine Learning Based Predictive Model for AFP-Based Unidirectional Composite Laminates.

Chathura Wanigasekara, Ebrahim Oromiehie, Akshya Swain, B. Gangadhara Prusty, Sing Kiong Nguang

IEEE Trans. Ind. Informatics, 2020

Delta-Modulator-Based Quantised Output Feedback Controller for Linear Networked Control Systems.

Chathura Wanigasekara, Dhafer Al-Makhles, Akshya Swain, Sing Kiong Nguang

IEEE Access, 2020

2019

Neural Network Based Inverse System Identification from Small Data Sets.

Chathura Wanigasekara, Akshya Swain, Sing Kiong Nguang, B. Gangadhara Prusty

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

Improved Learning from Small Data Sets Through Effective Combination of Machine Learning Tools with VSG Techniques.

Chathura Wanigasekara, Akshya Swain, Sing Kiong Nguang, B. Gangadhara Prusty

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018