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Kasun Bandara

Monash University (from arXiv:1710.03222, 2017) · ORCID · OpenAlex

13 papers in scope · 13 published · 1 on the econ.EM arXiv · 1,790 citations · h-index 9 (over the papers listed here)

Related authors

The 20 authors closest to this one in our weighted citation graph, most related first.

  1. Lingxiao Huang
  2. Nisheeth K. Vishnoi
  3. K. Sudhir
  4. Slawek Smyl
  5. Yuefang Gao
  6. Zhe-Yuan Li
  7. Zhen-Wei Huang
  8. Tingwei Zhang
  9. Yingjie Kuang
  10. Ling Huang
  11. Zhongjie Zeng
  12. Minh-Ngoc Tran
  13. Robert Kohn
  14. Richard Gerlach
  15. Chen Liu
  16. Chao Wang
  17. Christoph Bergmeir
  18. Tra Ngoc Vy Nguyen
  19. Christopher Drovandi
  20. Adam Clements

Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md.

Papers

(1 of 13)

Enhancing Demand Forecasting in Retail: A Comprehensive Analysis of Sales Promotional Effects on the Entire Demand Life Cycle
published2025 · Journal of Forecasting · 3 citations
with Harsha Chamara Hewage, H. Niles Perera
Journal of Forecasting
Day-ahead regional solar power forecasting with hierarchical temporal convolutional neural networks using historical power generation and weather data
published2024 · Applied Energy · 66 citations
with Maneesha Perera, Julian de Hoog, Damith Senanayake, Saman Halgamuge
Applied Energy
Advanced Genetic Algorithm for Optimal Microgrid Scheduling Considering Solar and Load Forecasting, Battery Degradation, and Demand Response Dynamics
published2024 · IEEE Access · 50 citations
with W. M. N. Witharama, K. M. D. P. Bandara, M. I. Azeez, Logeeshan Velmanickam, Chathura Wanigasekara
IEEE Access
Development and evaluation of probabilistic forecasting methods for small area populations
published2023 · Environment and Planning B Urban Analytics and City Science · 7 citations
with Irina Grossman, Tom Wilson, Michael Kirley
Environment and Planning B Urban Analytics and City Science
Can machine learning improve small area population forecasts? A forecast combination approach
published2022 · Computers Environment and Urban Systems · 33 citations
with Irina Grossman, Tom Wilson, Michael Kirley
Computers Environment and Urban Systems
A fast and scalable ensemble of global models with long memory and data partitioning for the M5 forecasting competition
published2021 · International Journal of Forecasting · 8 citations
with Hansika Hewamalage, Rakshitha Godahewa, Puwasala Gamakumara
International Journal of Forecasting
The Importance of Environmental Factors in Forecasting Australian Power Demand
published2021 · Environmental Modeling & Assessment · 14 citations · first circulated 2019
with Ali Eshragh, Benjamin Ganim, Terry Perkins
Environmental Modeling & Assessment
Global models for time series forecasting: A Simulation study
published2021 · Pattern Recognition · 12 citations
with Hansika Hewamalage, Christoph Bergmeir
Pattern Recognition
Ensembles of localised models for time series forecasting
published2021 · Knowledge-Based Systems · 55 citations
with Rakshitha Godahewa, Geoffrey I. Webb, Slawek Smyl, Christoph Bergmeir
Knowledge-Based Systems
Solar PV Maps for Estimation and Forecasting of Distributed Solar Generation
published2021 · International Conference on Machine Learning · 3 citations
with Julian de Hoog, Maneesha Perera, Damith Senanayake, Saman Halgamuge
no link
Recurrent Neural Networks for Time Series Forecasting: Current status and future directions
published2020 · International Journal of Forecasting · 1290 citations
with Hansika Hewamalage, Christoph Bergmeir
International Journal of Forecasting
LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series With Multiple Seasonal Patterns
published2020 · IEEE Transactions on Neural Networks and Learning Systems · 220 citations
with Christoph Bergmeir, Hansika Hewamalage
IEEE Transactions on Neural Networks and Learning Systems
Forecasting across time series databases using recurrent neural networks on groups of similar series: A clustering approach
published2019 · Expert Systems with Applications · 29 citations · first circulated 2017
with Christoph Bergmeir, Slawek Smyl
Paper profile Expert Systems with Applications arXiv:1710.03222

Assembled from arXiv and OpenAlex. Duplicate records for the same paper are merged, and the published version is shown where we could identify one. Corrections welcome.