Kasun Bandara

According to our database, Kasun Bandara authored at least 21 papers between 2012 and 2024.

Collaborative distances:

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

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

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, Sven Rebhan, Boris Rabinovich, Dilini Rajapaksha, Heda Song, Christian Wagner, Wenlong Wu, Luis Magdalena, Isaac Triguero

CoRR, 2023

Handling Concept Drift in Global Time Series Forecasting.

Ziyi Liu, Rakshitha Godahewa, Kasun Bandara, Christoph Bergmeir

CoRR, 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

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

Global models for time series forecasting: A Simulation study.

Hansika Hewamalage, Christoph Bergmeir, Kasun Bandara

Pattern Recognit., 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

A Hybrid Statistical-Machine Learning Approach for Analysing Online Customer Behavior: An Empirical Study.

Saed Alizami, Kasun Bandara, Ali Eshragh, Foaad Iravani

CoRR, 2022

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

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

Ensembles of localised models for time series forecasting.

Rakshitha Godahewa, Kasun Bandara, Geoffrey I. Webb, Slawek Smyl, Christoph Bergmeir

Knowl. Based Syst., 2021

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

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

2020

Forecasting in Big Data with Recurrent Neural Networks.

Kasun Bandara

PhD thesis, 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

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

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions.

Hansika Hewamalage, Christoph Bergmeir, Kasun Bandara

CoRR, 2019

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

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.

Kasun Bandara, Christoph Bergmeir, Slawek Smyl

CoRR, 2017

2014

Novel colour-clustered multiuser visible light communication.

Kasun Bandara, Yeon-ho Chung

Trans. Emerg. Telecommun. Technol., 2014

2013

A User-Data Division Multiple Access Scheme.

P. Niroopan, Kasun Bandara, Yeon-ho Chung

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.

Kasun Bandara, Yeon-ho Chung

Proceedings of the International Conference on Information and Communication Technology Convergence, 2012