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Automatic forecasting is the task of receiving a time series and returning a forecast for the next time steps without any human intervention.
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Wickramasuriya, S.L., Athanasopoulos, G., Hyndman, R.J.: Optimal forecast reconciliation for hierarchical and grouped time series through trace minimization. Journal of the American Statistical Association 114
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Montero-Manso, P., Athanasopoulos, G., Hyndman, R.J., Talagala, T.S.: Fforma: Feature-based forecast model averaging. International Journal of Forecasting 36
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Teng, T., Chen, J., Zhang, Y., Low, B.K.H.: Scalable variational bayesian kernel selection for sparse gaussian process regression. In: Proceedings of the AAAI Conference on Artificial Intelligence. vol. 34, pp. 5997–6004 (2020)
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Hewamalage, H., Bergmeir, C., Bandara, K.: Recurrent neural networks for time series forecasting: Current status and future directions. International Journal of Forecasting 37
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