Reduced training sequence using RLS adaptive algorithm with decision feedback equalizer in indoor Visible Light Wireless Communication channel. - Kasun Bandara; Yeon-ho Chung (ICTC, 2012)

A User-Data Division Multiple Access Scheme. - P. Niroopan; Kasun Bandara; Yeon-ho Chung (MUE, 2013)

Novel colour-clustered multiuser visible light communication. - Kasun Bandara; Yeon-ho Chung (Trans. Emerg. Telecommun. Technol., 2014)

Forecasting Across Time Series Databases using Long Short-Term Memory Networks on Groups of Similar Series. - Kasun Bandara; Christoph Bergmeir; Slawek Smyl (CoRR, 2017)

Sales Demand Forecast in E-commerce Using a Long Short-Term Memory Neural Network Methodology. - Kasun Bandara; Peibei Shi; Christoph Bergmeir; Hansika Hewamalage; Quoc Tran; Brian Seaman (ICONIP (3), 2019)

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions. - Hansika Hewamalage; Christoph Bergmeir; Kasun Bandara (CoRR, 2019)

Towards Accurate Predictions and Causal 'What-if' Analyses for Planning and Policy-making: A Case Study in Emergency Medical Services Demand. - Kasun Bandara; Christoph Bergmeir; Sam Campbell; Deborah A. Scott; Dan I. Lubman (IJCNN, 2020)

Forecasting across time series databases using recurrent neural networks on groups of similar series: A clustering approach. - Kasun Bandara; Christoph Bergmeir; Slawek Smyl (Expert Syst. Appl., 2020)

Forecasting in Big Data with Recurrent Neural Networks. - Kasun Bandara (2020)

Causal Inference Using Global Forecasting Models for Counterfactual Prediction. - Priscila Grecov; Kasun Bandara; Christoph Bergmeir; Klaus Ackermann; Sam Campbell; Deborah A. Scott; Dan I. Lubman (PAKDD (2), 2021)

Ensembles of localised models for time series forecasting. - Rakshitha Godahewa; Kasun Bandara; Geoffrey I. Webb; Slawek Smyl; Christoph Bergmeir (Knowl. Based Syst., 2021)

Improving the accuracy of global forecasting models using time series data augmentation. - Kasun Bandara; Hansika Hewamalage; Yuan-Hao Liu; Yanfei Kang; Christoph Bergmeir (Pattern Recognit., 2021)

LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series With Multiple Seasonal Patterns. - Kasun Bandara; Christoph Bergmeir; Hansika Hewamalage (IEEE Trans. Neural Networks Learn. Syst., 2021)

A Hybrid Statistical-Machine Learning Approach for Analysing Online Customer Behavior: An Empirical Study. - Saed Alizami; Kasun Bandara; Ali Eshragh; Foaad Iravani (CoRR, 2022)

Multi-resolution, multi-horizon distributed solar PV power forecasting with forecast combinations. - Maneesha Perera; Julian de Hoog; Kasun Bandara; Saman K. Halgamuge (Expert Syst. Appl., 2022)

Global models for time series forecasting: A Simulation study. - Hansika Hewamalage; Christoph Bergmeir; Kasun Bandara (Pattern Recognit., 2022)

Can machine learning improve small area population forecasts? A forecast combination approach. - Irina Grossman; Kasun Bandara; Tom Wilson; Michael Kirley (Comput. Environ. Urban Syst., 2022)

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 (AIIoT, 2023)

Handling Concept Drift in Global Time Series Forecasting. - Ziyi Liu; Rakshitha Godahewa; Kasun Bandara; Christoph Bergmeir (CoRR, 2023)

The Energy Prediction Smart-Meter Dataset: Analysis of Previous Competitions and Beyond. - Direnc Pekaslan; Jose Maria Alonso-Moral; Kasun Bandara; Christoph Bergmeir; Juan Bernabé-Moreno; Robert Eigenmann; Nils Einecke; Selvi Ergen; Rakshitha Godahewa; Hansika Hewamalage; Jesus Lago; Steffen Limmer; et al. (CoRR, 2023)

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)

Day-ahead regional solar power forecasting with hierarchical temporal convolutional neural networks using historical power generation and weather data. - Maneesha Perera; Julian de Hoog; Kasun Bandara; Damith A. Senanayake; Saman K. Halgamuge (CoRR, 2024)

Distributed solar generation forecasting using attention-based deep neural networks for cloud movement prediction. - Maneesha Perera; Julian de Hoog; Kasun Bandara; Saman K. Halgamuge (CoRR, 2024)