Kasun Bandara

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 25

Top Topics

Current Status And Future

Load Forecasting

Top Venues

Pattern Recognit.

Expert Syst. Appl.

IEEE Trans. Neural Networks Learn. Syst.

Publications

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)
Maneesha Perera, Julian de Hoog, Kasun Bandara, Damith A. Senanayake, Saman K. Halgamuge
Day-ahead regional solar power forecasting with hierarchical temporal convolutional neural networks using historical power generation and weather data. CoRR (2024)
Ziyi Liu, Rakshitha Godahewa, Kasun Bandara, Christoph Bergmeir
Handling Concept Drift in Global Time Series Forecasting. CoRR (2023)
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
The Energy Prediction Smart-Meter Dataset: Analysis of Previous Competitions and Beyond. CoRR (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)
Maneesha Perera, Julian de Hoog, Kasun Bandara, Saman K. Halgamuge
Multi-resolution, multi-horizon distributed solar PV power forecasting with forecast combinations. Expert Syst. Appl. 205 (2022)
Hansika Hewamalage, Christoph Bergmeir, Kasun Bandara
Global models for time series forecasting: A Simulation study. Pattern Recognit. 124 (2022)
Irina Grossman, Kasun Bandara, Tom Wilson, Michael Kirley
Can machine learning improve small area population forecasts? A forecast combination approach. Comput. Environ. Urban Syst. 95 (2022)
Saed Alizami, Kasun Bandara, Ali Eshragh, Foaad Iravani
A Hybrid Statistical-Machine Learning Approach for Analysing Online Customer Behavior: An Empirical Study. CoRR (2022)
Maneesha Perera, Julian de Hoog, Kasun Bandara, Saman K. Halgamuge
Multi-Resolution, Multi-Horizon Distributed Solar PV Power Forecasting with Forecast Combinations. CoRR (2022)
Rakshitha Godahewa, Kasun Bandara, Geoffrey I. Webb, Slawek Smyl, Christoph Bergmeir
Ensembles of localised models for time series forecasting. Knowl. Based Syst. 233 (2021)
Kasun Bandara, Hansika Hewamalage, Yuan-Hao Liu, Yanfei Kang, Christoph Bergmeir
Improving the accuracy of global forecasting models using time series data augmentation. Pattern Recognit. 120 (2021)
Kasun Bandara, Christoph Bergmeir, Hansika Hewamalage
LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series With Multiple Seasonal Patterns. IEEE Trans. Neural Networks Learn. Syst. 32 (4) (2021)
Priscila Grecov, Kasun Bandara, Christoph Bergmeir, Klaus Ackermann, Sam Campbell, Deborah Scott, Dan I. Lubman
Causal Inference Using Global Forecasting Models for Counterfactual Prediction. PAKDD (2) (2021)
Kasun Bandara, Hansika Hewamalage, Yuan-Hao Liu, Yanfei Kang, Christoph Bergmeir
Improving the Accuracy of Global Forecasting Models using Time Series Data Augmentation. CoRR (2020)
Rakshitha Godahewa, Kasun Bandara, Geoffrey I. Webb, Slawek Smyl, Christoph Bergmeir
Ensembles of Localised Models for Time Series Forecasting. CoRR (2020)
Kasun Bandara, Christoph Bergmeir, Sam Campbell, Deborah Scott, Dan I. Lubman
Towards Accurate Predictions and Causal 'What-if' Analyses for Planning and Policy-making: A Case Study in Emergency Medical Services Demand. CoRR (2020)
Kasun Bandara, Christoph Bergmeir, Slawek Smyl
Forecasting across time series databases using recurrent neural networks on groups of similar series: A clustering approach. Expert Syst. Appl. 140 (2020)
Kasun Bandara, Christoph Bergmeir, Sam Campbell, Deborah Scott, Dan I. Lubman
Towards Accurate Predictions and Causal 'What-if' Analyses for Planning and Policy-making: A Case Study in Emergency Medical Services Demand. IJCNN (2020)
Hansika Hewamalage, Christoph Bergmeir, Kasun Bandara
Global Models for Time Series Forecasting: A Simulation Study. CoRR (2020)
Hansika Hewamalage, Christoph Bergmeir, Kasun Bandara
Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions. CoRR (2019)
Kasun Bandara, Christoph Bergmeir, Hansika Hewamalage
LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series with Multiple Seasonal Patterns. CoRR (2019)
Kasun Bandara, Peibei Shi, Christoph Bergmeir, Hansika Hewamalage, Quoc Tran, Brian Seaman
Sales Demand Forecast in E-commerce using a Long Short-Term Memory Neural Network Methodology. CoRR (2019)
Kasun Bandara, Peibei Shi, Christoph Bergmeir, Hansika Hewamalage, Quoc Tran, Brian Seaman
Sales Demand Forecast in E-commerce Using a Long Short-Term Memory Neural Network Methodology. ICONIP (3) (2019)
Kasun Bandara, Christoph Bergmeir, Slawek Smyl
Forecasting Across Time Series Databases using Long Short-Term Memory Networks on Groups of Similar Series. CoRR (2017)
Kasun Bandara, Yeon-ho Chung
Novel colour-clustered multiuser visible light communication. Trans. Emerg. Telecommun. Technol. 25 (6) (2014)
P. Niroopan, Kasun Bandara, Yeon-ho Chung
A User-Data Division Multiple Access Scheme. MUE (2013)
Kasun Bandara, Yeon-ho Chung
Reduced training sequence using RLS adaptive algorithm with decision feedback equalizer in indoor Visible Light Wireless Communication channel. ICTC (2012)