Kasun Bandara

30 papers B 1Journal 23Unranked 5
YearRankTypeTitle / Venue / Authors
2024 J jnl
Advanced Genetic Algorithm for Optimal Microgrid Scheduling Considering Solar and Load Forecasting, Battery Degradation, and Demand Response Dynamics.
IEEE Access
W. M. N. Witharama, K. M. D. P. Bandara, M. I. Azeez, Kasun Bandara, V. Logeeshan, Chathura Wanigasekara
2024 J jnl
Day-ahead regional solar power forecasting with hierarchical temporal convolutional neural networks using historical power generation and weather data.
CoRR
Maneesha Perera, Julian de Hoog, Kasun Bandara, Damith A. Senanayake, Saman K. Halgamuge
2024 J jnl
Distributed solar generation forecasting using attention-based deep neural networks for cloud movement prediction.
CoRR
Maneesha Perera, Julian de Hoog, Kasun Bandara, Saman K. Halgamuge
2023 J jnl
Handling Concept Drift in Global Time Series Forecasting.
CoRR
Ziyi Liu, Rakshitha Godahewa, Kasun Bandara, Christoph Bergmeir
2023 — conf
Optimal Scheduling of a Solar-Powered Microgrid Using ML-Based Solar and Load Forecasting.
AIIoT
W. M. N. Witharama, K. M. D. P. Bandara, M. I. Azeez, Muditha Adhikari, Kasun Bandara, V. Logeeshan, Chathura Wanigasekara
2023 J jnl
The Energy Prediction Smart-Meter Dataset: Analysis of Previous Competitions and Beyond.
CoRR
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, Sven Rebhan, Boris Rabinovich, Dilini Rajapaksha, Heda Song, Christian Wagner, Wenlong Wu, Luis Magdalena, Isaac Triguero
2022 J jnl
A Hybrid Statistical-Machine Learning Approach for Analysing Online Customer Behavior: An Empirical Study.
CoRR
Saed Alizami, Kasun Bandara, Ali Eshragh, Foaad Iravani
2022 J jnl
Can machine learning improve small area population forecasts? A forecast combination approach.
Comput. Environ. Urban Syst.
Irina Grossman, Kasun Bandara, Tom Wilson, Michael Kirley
2022 J jnl
Global models for time series forecasting: A Simulation study.
Pattern Recognit.
Hansika Hewamalage, Christoph Bergmeir, Kasun Bandara
2022 J jnl
Multi-Resolution, Multi-Horizon Distributed Solar PV Power Forecasting with Forecast Combinations.
CoRR
Maneesha Perera, Julian de Hoog, Kasun Bandara, Saman K. Halgamuge
2022 J jnl
Multi-resolution, multi-horizon distributed solar PV power forecasting with forecast combinations.
Expert Syst. Appl.
Maneesha Perera, Julian de Hoog, Kasun Bandara, Saman K. Halgamuge
2021 — conf
Causal Inference Using Global Forecasting Models for Counterfactual Prediction.
PAKDD (2)
Priscila Grecov, Kasun Bandara, Christoph Bergmeir, Klaus Ackermann, Sam Campbell, Deborah A. Scott, Dan I. Lubman
2021 J jnl
Ensembles of localised models for time series forecasting.
Knowl. Based Syst.
Rakshitha Godahewa, Kasun Bandara, Geoffrey I. Webb, Slawek Smyl, Christoph Bergmeir
2021 J jnl
Improving the accuracy of global forecasting models using time series data augmentation.
Pattern Recognit.
Kasun Bandara, Hansika Hewamalage, Yuan-Hao Liu, Yanfei Kang, Christoph Bergmeir
2021 J jnl
LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series With Multiple Seasonal Patterns.
IEEE Trans. Neural Networks Learn. Syst.
Kasun Bandara, Christoph Bergmeir, Hansika Hewamalage
2020 J jnl
Ensembles of Localised Models for Time Series Forecasting.
CoRR
Rakshitha Godahewa, Kasun Bandara, Geoffrey I. Webb, Slawek Smyl, Christoph Bergmeir
2020 J jnl
Forecasting across time series databases using recurrent neural networks on groups of similar series: A clustering approach.
Expert Syst. Appl.
Kasun Bandara, Christoph Bergmeir, Slawek Smyl
2020 — —
Forecasting in Big Data with Recurrent Neural Networks.
Kasun Bandara
2020 J jnl
Global Models for Time Series Forecasting: A Simulation Study.
CoRR
Hansika Hewamalage, Christoph Bergmeir, Kasun Bandara
2020 J jnl
Improving the Accuracy of Global Forecasting Models using Time Series Data Augmentation.
CoRR
Kasun Bandara, Hansika Hewamalage, Yuan-Hao Liu, Yanfei Kang, Christoph Bergmeir
2020 B conf
Towards Accurate Predictions and Causal 'What-if' Analyses for Planning and Policy-making: A Case Study in Emergency Medical Services Demand.
IJCNN
Kasun Bandara, Christoph Bergmeir, Sam Campbell, Deborah A. Scott, Dan I. Lubman
2020 J jnl
Towards Accurate Predictions and Causal 'What-if' Analyses for Planning and Policy-making: A Case Study in Emergency Medical Services Demand.
CoRR
Kasun Bandara, Christoph Bergmeir, Sam Campbell, Deborah A. Scott, Dan I. Lubman
2019 J jnl
LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series with Multiple Seasonal Patterns.
CoRR
Kasun Bandara, Christoph Bergmeir, Hansika Hewamalage
2019 J jnl
Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions.
CoRR
Hansika Hewamalage, Christoph Bergmeir, Kasun Bandara
2019 — conf
Sales Demand Forecast in E-commerce Using a Long Short-Term Memory Neural Network Methodology.
ICONIP (3)
Kasun Bandara, Peibei Shi, Christoph Bergmeir, Hansika Hewamalage, Quoc Tran, Brian Seaman
2019 J jnl
Sales Demand Forecast in E-commerce using a Long Short-Term Memory Neural Network Methodology.
CoRR
Kasun Bandara, Peibei Shi, Christoph Bergmeir, Hansika Hewamalage, Quoc Tran, Brian Seaman
2017 J jnl
Forecasting Across Time Series Databases using Long Short-Term Memory Networks on Groups of Similar Series.
CoRR
Kasun Bandara, Christoph Bergmeir, Slawek Smyl
2014 J jnl
Novel colour-clustered multiuser visible light communication.
Trans. Emerg. Telecommun. Technol.
Kasun Bandara, Yeon-ho Chung
2013 — conf
A User-Data Division Multiple Access Scheme.
MUE
P. Niroopan, Kasun Bandara, Yeon-ho Chung
2012 — conf
Reduced training sequence using RLS adaptive algorithm with decision feedback equalizer in indoor Visible Light Wireless Communication channel.
ICTC
Kasun Bandara, Yeon-ho Chung