Kasun Bandara
Orcid: 0000-0001-9029-1478
According to our database1,
Kasun Bandara
authored at least 22 papers
between 2012 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Day-ahead regional solar power forecasting with hierarchical temporal convolutional neural networks using historical power generation and weather data.
CoRR, 2024
Advanced Genetic Algorithm for Optimal Microgrid Scheduling Considering Solar and Load Forecasting, Battery Degradation, and Demand Response Dynamics.
IEEE Access, 2024
2023
The Energy Prediction Smart-Meter Dataset: Analysis of Previous Competitions and Beyond.
CoRR, 2023
Optimal Scheduling of a Solar-Powered Microgrid Using ML-Based Solar and Load Forecasting.
Proceedings of the 2023 IEEE World AI IoT Congress (AIIoT), 2023
2022
Can machine learning improve small area population forecasts? A forecast combination approach.
Comput. Environ. Urban Syst., 2022
Pattern Recognit., 2022
Multi-resolution, multi-horizon distributed solar PV power forecasting with forecast combinations.
Expert Syst. Appl., 2022
A Hybrid Statistical-Machine Learning Approach for Analysing Online Customer Behavior: An Empirical Study.
CoRR, 2022
2021
LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series With Multiple Seasonal Patterns.
IEEE Trans. Neural Networks Learn. Syst., 2021
Improving the accuracy of global forecasting models using time series data augmentation.
Pattern Recognit., 2021
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021
2020
Forecasting across time series databases using recurrent neural networks on groups of similar series: A clustering approach.
Expert Syst. Appl., 2020
Towards Accurate Predictions and Causal 'What-if' Analyses for Planning and Policy-making: A Case Study in Emergency Medical Services Demand.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
2019
Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions.
CoRR, 2019
Sales Demand Forecast in E-commerce Using a Long Short-Term Memory Neural Network Methodology.
Proceedings of the Neural Information Processing - 26th International Conference, 2019
2017
Forecasting Across Time Series Databases using Long Short-Term Memory Networks on Groups of Similar Series.
CoRR, 2017
2014
Trans. Emerg. Telecommun. Technol., 2014
2013
Proceedings of the Multimedia and Ubiquitous Engineering, 2013
2012
Reduced training sequence using RLS adaptive algorithm with decision feedback equalizer in indoor Visible Light Wireless Communication channel.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2012