V. Logeeshan

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 14

Top Topics

Load Forecasting

Top Venues

Publications

R. D. Sandakelum, V. H. Liyanage, P. M. Chandrasekara, V. Logeeshan, S. Kumarawadu, Chathura Wanigasekara
Development of Deep Learning Model to Detect Cyber-Attacks within Vehicular Networks. AIIoT (2024)
Shamaltha M. Wickramaarachchi, S. A. Dewmini Suraweera, D. M. Pasindu Akalanka, V. Logeeshan, Chathura Wanigasekara
Accurate Prediction of Remaining Useful Life for Lithium-ion Battery Cells Using Deep Neural Networks. AIIoT (2024)
W. M. N. Witharama, K. M. D. P. Bandara, M. I. Azeez, Kasun Bandara, V. Logeeshan, Chathura Wanigasekara
Advanced Genetic Algorithm for Optimal Microgrid Scheduling Considering Solar and Load Forecasting, Battery Degradation, and Demand Response Dynamics. IEEE Access 12 (2024)
M. A. S. P. Dayarathne, M. S. M. Jayathilaka, R. M. V. A. Bandara, V. Logeeshan, S. Kumarawadu, Chathura Wanigasekara
Deep Learning-Based Cyber Attack Detection in Power Grids with Increasing Renewable Energy Penetration. AIIoT (2024)
S. M. L. Arampola, M. S. K. Nisakya, W. A. Yasodya, S. Kumarawadu, V. Logeeshan, Chathura Wanigasekara
Self-Adaptive Non-Intrusive Load Monitoring Using Deep Learning. AIIoT (2024)
H. G. I. Thiranga, M. S. Weeraman, P. A. L. Pathirage, V. Logeeshan, S. Kumarawadu
Neural Network-Based Pipeline for Detection of Sensor Anomalies in Battery Energy Storage Systems. ICIIS (2023)
J. A. R. R. Jayasinghe, J. H. E. Malindi, R. M. A. M. Rajapaksha, V. Logeeshan, Chathura Wanigasekara
Enhanced Fault Classification and Localization in Microgrids Using Machine Learning. AIIoT (2023)
S. I. Senarathna, L. A. U. Prasanshi, S. D. W. Senanayake, Dhammike Wimalarathne, S. Kumarawadu, V. Logeeshan, Chathura Wanigasekara
A Data-Driven Approach Based on Artificial Neural Networks for the Detection and Classification of Bearing Anomalies in Power Generation Plants. AIIoT (2023)
M. J. S. Kulathilaka, S. Saravanan, H. D. H. P. Kumarasiri, V. Logeeshan, S. Kumarawadu, Chathura Wanigasekara
Maximizing Efficiency in Commercial Power Systems with an Optimized Load Classification and Identification Method Using Deep Learning and Ensemble Techniques. AIIoT (2023)
W. M. N. Witharama, K. M. D. P. Bandara, M. I. Azeez, Muditha Adhikari, Kasun Bandara, V. Logeeshan, Chathura Wanigasekara
Optimal Scheduling of a Solar-Powered Microgrid Using ML-Based Solar and Load Forecasting. AIIoT (2023)
Chanuka Bandara, Ashan Dhanuka Sandanayake, Yehan Kodithuwakku, V. Logeeshan
Automated Medicinal-Pill Dispenser with Cellular and Wi-Fi IoT Integration. AIIoT (2022)
Balarupan Gowrienanthan, N. Kiruthihan, K. D. I. S. Rathnayake, S. Kumarawadu, V. Logeeshan
Low-Cost Ensembling for Deep Neural Network based Non-Intrusive Load Monitoring. AIIoT (2022)
Ashan Dhanuka Sandanayake, Yehan Kodithuwakku, Chanuka Bandara, V. Logeeshan
Smart Three In One System For Indoor Safety Assurance. AIIoT (2022)
Yehan Kodithuwakku, Ashan Dhanuka Sandanayake, Chanuka Bandara, V. Logeeshan
IoT Based Healthcare Kit for Domestic Usage. AIIoT (2022)