Kasun Bandara

Orcid: 0000-0001-9029-1478

According to our database1, Kasun Bandara authored at least 22 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Day-ahead regional solar power forecasting with hierarchical temporal convolutional neural networks using historical power generation and weather data.
CoRR, 2024

Advanced Genetic Algorithm for Optimal Microgrid Scheduling Considering Solar and Load Forecasting, Battery Degradation, and Demand Response Dynamics.
IEEE Access, 2024

2023
The Energy Prediction Smart-Meter Dataset: Analysis of Previous Competitions and Beyond.
CoRR, 2023

Handling Concept Drift in Global Time Series Forecasting.
CoRR, 2023

Optimal Scheduling of a Solar-Powered Microgrid Using ML-Based Solar and Load Forecasting.
Proceedings of the 2023 IEEE World AI IoT Congress (AIIoT), 2023

2022
Can machine learning improve small area population forecasts? A forecast combination approach.
Comput. Environ. Urban Syst., 2022

Global models for time series forecasting: A Simulation study.
Pattern Recognit., 2022

Multi-resolution, multi-horizon distributed solar PV power forecasting with forecast combinations.
Expert Syst. Appl., 2022

A Hybrid Statistical-Machine Learning Approach for Analysing Online Customer Behavior: An Empirical Study.
CoRR, 2022

2021
LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series With Multiple Seasonal Patterns.
IEEE Trans. Neural Networks Learn. Syst., 2021

Improving the accuracy of global forecasting models using time series data augmentation.
Pattern Recognit., 2021

Ensembles of localised models for time series forecasting.
Knowl. Based Syst., 2021

Causal Inference Using Global Forecasting Models for Counterfactual Prediction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

2020
Forecasting in Big Data with Recurrent Neural Networks.
PhD thesis, 2020

Forecasting across time series databases using recurrent neural networks on groups of similar series: A clustering approach.
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.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions.
CoRR, 2019

Sales Demand Forecast in E-commerce Using a Long Short-Term Memory Neural Network Methodology.
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.
CoRR, 2017

2014
Novel colour-clustered multiuser visible light communication.
Trans. Emerg. Telecommun. Technol., 2014

2013
A User-Data Division Multiple Access Scheme.
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.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2012


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