Author Page for Kasun Bandara

Understanding Online Consumer Behavior in Retail Operations: An Interpretable Machine Learning Approach

Johns Hopkins Carey Business School Research Paper Forthcoming

Number of pages: 41 Posted: 30 Sep 2025

Ali Eshragh, Saed Alizamir, Foad Iravani, Kasun Bandara and Ben Fahimnia

Johns Hopkins University - Carey Business School, University of Virginia - Darden School of Business, Uber Freight, University of Melbourne and The University of Sydney

Downloads 148 (508,926)

Abstract:

2.

Forecasting Hierarchical Time Series Using Non-Linear Mappings

Number of pages: 24 Posted: 13 Apr 2024

Shanika Wickramasuriya, Kasun Bandara, Hansika Hewamalage and Maneesha Perera

Monash University, University of Melbourne, University of New South Wales (UNSW) and University of Melbourne

Downloads 72 (891,180)

Abstract:

3.

Distributed solar generation forecasting using attention-based deep neural networks for cloud movement prediction

Downloads 63 (970,490)

Citation 1

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Distributed solar generation forecasting using attention-based deep neural networks for cloud movement prediction

Number of pages: 33 Posted: 19 Nov 2025

Maneesha Perera, Julian de Hoog, Kasun Bandara and Saman Halgamuge

University of Melbourne, University of Melbourne - Department of Mechanical Engineering, University of Melbourne and University of Melbourne - Department of Mechanical Engineering

Downloads 38 (1,252,562)

Citation 1

Abstract:

Distributed solar generation forecasting using attention-based deep neural networks for cloud movement prediction

Number of pages: 36 Posted: 14 Feb 2026

Maneesha Perera, Julian de Hoog, Kasun Bandara, Hansani Weeratunge and Saman Halgamuge

University of Melbourne, University of Melbourne - Department of Mechanical Engineering, University of Melbourne, Sri Lanka Institute of Information Technology and University of Melbourne - Department of Mechanical Engineering

Downloads 13 (1,606,395)

Abstract:

Distributed solar generation forecasting using attention-based deep neural networks for cloud movement prediction

Number of pages: 36 Posted: 09 May 2026

Maneesha Perera, Julian de Hoog, Kasun Bandara, Hansani Weeratunge and Saman Halgamuge

University of Melbourne, University of Melbourne - Department of Mechanical Engineering, University of Melbourne, Sri Lanka Institute of Information Technology and University of Melbourne - Department of Mechanical Engineering

Downloads 12 (1,589,301)

Kasun Bandara

University of Melbourne

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Scholarly Papers (3)

Understanding Online Consumer Behavior in Retail Operations: An Interpretable Machine Learning Approach

Abstract:

Forecasting Hierarchical Time Series Using Non-Linear Mappings

Abstract:

Distributed solar generation forecasting using attention-based deep neural networks for cloud movement prediction

Distributed solar generation forecasting using attention-based deep neural networks for cloud movement prediction

Abstract:

Distributed solar generation forecasting using attention-based deep neural networks for cloud movement prediction

Abstract:

Distributed solar generation forecasting using attention-based deep neural networks for cloud movement prediction

Abstract: