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Competitive DL-based model on the M4 competition dataset

Jupyter Notebook 99.44% Python 0.56%
deep-learning deep-neural-networks machine-learning pytorch time-series

ensemble_forecasting's Introduction

Ensemble forecasting and the M4 competition

Ankile, L.L. and Krange, K. (2022)

This project is part of the master thesis of Lars Lien Ankile and Kjartan Krange.

For a high-level presentation of the work, see these slides.

If you find the work helpful, please consider citing it:

@misc{https://doi.org/10.48550/arxiv.2201.00426,
  doi = {10.48550/ARXIV.2201.00426},
  url = {https://arxiv.org/abs/2201.00426},
  author = {Ankile, Lars Lien and Krange, Kjartan},
  title = {The DONUT Approach to Ensemble Combination Forecasting},
  publisher = {arXiv},
  year = {2022},
}

ensemble_forecasting's People

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