Rakshitha Godahewa

According to our database, Rakshitha Godahewa authored at least 12 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

SETAR-Tree: a novel and accurate tree algorithm for global time series forecasting.

Rakshitha Godahewa, Geoffrey I. Webb, Daniel F. Schmidt, Christoph Bergmeir

Mach. Learn., July, 2023

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

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

CoRR, 2023

Scalable Probabilistic Forecasting in Retail with Gradient Boosted Trees: A Practitioner's Approach.

Xueying Long, Quang Bui, Grady Oktavian, Daniel F. Schmidt, Christoph Bergmeir, Rakshitha Godahewa, Seong Per Lee, Kaifeng Zhao, Paul Condylis

CoRR, 2023

On Forecast Stability.

Rakshitha Godahewa, Christoph Bergmeir, Zeynep Erkin Baz, Chengjun Zhu, Zhangdi Song, Salvador García, Dario Benavides

CoRR, 2023

Handling Concept Drift in Global Time Series Forecasting.

Ziyi Liu, Rakshitha Godahewa, Kasun Bandara, Christoph Bergmeir

CoRR, 2023

2022

Comparison and Evaluation of Methods for a Predict+Optimize Problem in Renewable Energy.

Christoph Bergmeir, Frits de Nijs, Abishek Sriramulu, Mahdi Abolghasemi, Richard Bean, John M. Betts, Quang Bui, Nam Trong Dinh, Nils Einecke, Rasul Esmaeilbeigi, Scott Ferraro, Priya Galketiya, Evgenii Genov, Robert Glasgow, Rakshitha Godahewa, Yanfei Kang, Steffen Limmer, Luis Magdalena, Pablo Montero-Manso, Daniel Peralta, Yogesh Pipada Sunil Kumar, Alejandro Rosales-Pérez, Julian Ruddick, Akylas C. Stratigakos, Peter J. Stuckey, Guido Tack, Isaac Triguero, Rui Yuan

CoRR, 2022

A Generative Deep Learning Framework Across Time Series to Optimize the Energy Consumption of Air Conditioning Systems.

Rakshitha Godahewa, Chang Deng, Arnaud Prouzeau, Christoph Bergmeir

IEEE Access, 2022

2021

Ensembles of localised models for time series forecasting.

Rakshitha Godahewa, Kasun Bandara, Geoffrey I. Webb, Slawek Smyl, Christoph Bergmeir

Knowl. Based Syst., 2021

Monash Time Series Forecasting Archive.

Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb, Rob J. Hyndman, Pablo Montero-Manso

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

2020

A Strong Baseline for Weekly Time Series Forecasting.

Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb, Pablo Montero-Manso

CoRR, 2020

Simulation and Optimisation of Air Conditioning Systems using Machine Learning.

Rakshitha Godahewa, Chang Deng, Arnaud Prouzeau, Christoph Bergmeir

CoRR, 2020

Seasonal Averaged One-Dependence Estimators: A Novel Algorithm to Address Seasonal Concept Drift in High-Dimensional Stream Classification.

Rakshitha Godahewa, Trevor Yann, Christoph Bergmeir, François Petitjean

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020