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ORCIDRakshitha Godahewa
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2020 – today
- 2023
[j3]Rakshitha Godahewa
, Geoffrey I. Webb, Daniel F. Schmidt, Christoph Bergmeir:
SETAR-Tree: a novel and accurate tree algorithm for global time series forecasting. Mach. Learn. 112(7): 2555-2591 (2023)- [i11]Ziyi Liu, Rakshitha Godahewa, Kasun Bandara, Christoph Bergmeir:
Handling Concept Drift in Global Time Series Forecasting. CoRR abs/2304.01512 (2023) - [i10]Rakshitha Godahewa, Christoph Bergmeir, Zeynep Erkin Baz, Chengjun Zhu, Zhangdi Song, Salvador García, Dario Benavides:
On Forecast Stability. CoRR abs/2310.17332 (2023) - [i9]Xueying Long, Quang Bui, Grady Oktavian, Daniel F. Schmidt, Christoph Bergmeir, Rakshitha Godahewa, Seong Per Lee, Kaifeng Zhao, Paul Condylis:
Scalable Probabilistic Forecasting in Retail with Gradient Boosted Trees: A Practitioner's Approach. CoRR abs/2311.00993 (2023) - [i8]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
- [j2]Rakshitha Godahewa, Chang Deng, Arnaud Prouzeau, Christoph Bergmeir:
A Generative Deep Learning Framework Across Time Series to Optimize the Energy Consumption of Air Conditioning Systems. IEEE Access 10: 6842-6855 (2022) - [i7]Rakshitha Godahewa, Geoffrey I. Webb, Daniel F. Schmidt, Christoph Bergmeir:
SETAR-Tree: A Novel and Accurate Tree Algorithm for Global Time Series Forecasting. CoRR abs/2211.08661 (2022) - [i6]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:
Comparison and Evaluation of Methods for a Predict+Optimize Problem in Renewable Energy. CoRR abs/2212.10723 (2022) - 2021
- [j1]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) - [c2]Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb, Rob J. Hyndman, Pablo Montero-Manso:
Monash Time Series Forecasting Archive. NeurIPS Datasets and Benchmarks 2021 - [i5]Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb, Rob J. Hyndman, Pablo Montero-Manso:
Monash Time Series Forecasting Archive. CoRR abs/2105.06643 (2021) - 2020
- [c1]Rakshitha Godahewa, Trevor Yann, Christoph Bergmeir, François Petitjean:
Seasonal Averaged One-Dependence Estimators: A Novel Algorithm to Address Seasonal Concept Drift in High-Dimensional Stream Classification. IJCNN 2020: 1-8 - [i4]Rakshitha Godahewa, Chang Deng, Arnaud Prouzeau, Christoph Bergmeir:
Simulation and Optimisation of Air Conditioning Systems using Machine Learning. CoRR abs/2006.15296 (2020) - [i3]Rakshitha Godahewa, Trevor Yann, Christoph Bergmeir, François Petitjean:
Seasonal Averaged One-Dependence Estimators: A Novel Algorithm to Address Seasonal Concept Drift in High-Dimensional Stream Classification. CoRR abs/2006.15311 (2020) - [i2]Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb, Pablo Montero-Manso:
A Strong Baseline for Weekly Time Series Forecasting. CoRR abs/2010.08158 (2020) - [i1]Rakshitha Godahewa, Kasun Bandara, Geoffrey I. Webb, Slawek Smyl, Christoph Bergmeir:
Ensembles of Localised Models for Time Series Forecasting. CoRR abs/2012.15059 (2020)
Coauthor Index
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