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2020 – today
- 2024
[j9]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: 83269-83284 (2024)- [i13]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 abs/2403.01653 (2024) - 2023
- [c6]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: 447-453 - [i12]Ziyi Liu, Rakshitha Godahewa, Kasun Bandara, Christoph Bergmeir:
Handling Concept Drift in Global Time Series Forecasting. CoRR abs/2304.01512 (2023) - [i11]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 abs/2311.04007 (2023) - 2022
- [j8]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: 117690 (2022) - [j7]Hansika Hewamalage, Christoph Bergmeir, Kasun Bandara:
Global models for time series forecasting: A Simulation study. Pattern Recognit. 124: 108441 (2022) - [j6]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: 101806 (2022) - [i10]Maneesha Perera, Julian de Hoog, Kasun Bandara, Saman K. Halgamuge:
Multi-Resolution, Multi-Horizon Distributed Solar PV Power Forecasting with Forecast Combinations. CoRR abs/2206.10795 (2022) - [i9]Saed Alizami, Kasun Bandara, Ali Eshragh, Foaad Iravani:
A Hybrid Statistical-Machine Learning Approach for Analysing Online Customer Behavior: An Empirical Study. CoRR abs/2212.02255 (2022) - 2021
- [j5]Rakshitha Godahewa, Kasun Bandara, Geoffrey I. Webb, Slawek Smyl, Christoph Bergmeir:
Ensembles of localised models for time series forecasting. Knowl. Based Syst. 233: 107518 (2021) - [j4]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: 108148 (2021) - [j3]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): 1586-1599 (2021) - [c5]Priscila Grecov, Kasun Bandara, Christoph Bergmeir, Klaus Ackermann, Sam Campbell, Deborah A. Scott, Dan I. Lubman:
Causal Inference Using Global Forecasting Models for Counterfactual Prediction. PAKDD (2) 2021: 282-294 - 2020
- [b1]Kasun Bandara:
Forecasting in Big Data with Recurrent Neural Networks. Monash University, Australia, 2020 - [j2]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) - [c4]Kasun Bandara, Christoph Bergmeir, Sam Campbell, Deborah A. 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: 1-10 - [i8]Kasun Bandara, Christoph Bergmeir, Sam Campbell, Deborah A. 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 abs/2004.12092 (2020) - [i7]Kasun Bandara, Hansika Hewamalage, Yuan-Hao Liu, Yanfei Kang, Christoph Bergmeir:
Improving the Accuracy of Global Forecasting Models using Time Series Data Augmentation. CoRR abs/2008.02663 (2020) - [i6]Hansika Hewamalage, Christoph Bergmeir, Kasun Bandara:
Global Models for Time Series Forecasting: A Simulation Study. CoRR abs/2012.12485 (2020) - [i5]Rakshitha Godahewa, Kasun Bandara, Geoffrey I. Webb, Slawek Smyl, Christoph Bergmeir:
Ensembles of Localised Models for Time Series Forecasting. CoRR abs/2012.15059 (2020)
2010 – 2019
- 2019
- [c3]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: 462-474 - [i4]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 abs/1901.04028 (2019) - [i3]Hansika Hewamalage, Christoph Bergmeir, Kasun Bandara:
Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions. CoRR abs/1909.00590 (2019) - [i2]Kasun Bandara, Christoph Bergmeir, Hansika Hewamalage:
LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series with Multiple Seasonal Patterns. CoRR abs/1909.04293 (2019) - 2017
- [i1]Kasun Bandara, Christoph Bergmeir, Slawek Smyl:
Forecasting Across Time Series Databases using Long Short-Term Memory Networks on Groups of Similar Series. CoRR abs/1710.03222 (2017) - 2014
- [j1]Kasun Bandara, Yeon-ho Chung:
Novel colour-clustered multiuser visible light communication. Trans. Emerg. Telecommun. Technol. 25(6): 579-590 (2014) - 2013
- [c2]P. Niroopan, Kasun Bandara, Yeon-ho Chung:
A User-Data Division Multiple Access Scheme. MUE 2013: 849-855 - 2012
- [c1]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: 149-154
Coauthor Index
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