A survey and M5 benchmark arguing that optimizing forecasts after generation, through ensembles and meta-learners, adds more value than replacing base forecasting models.
Adv Neural Inf Process Syst Smyl S (2020) A hybrid method of exponential smoothing and recurrent neural networks for time series forecasting
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Forecast-Then-Optimize Deep Learning Methods
A survey and M5 benchmark arguing that optimizing forecasts after generation, through ensembles and meta-learners, adds more value than replacing base forecasting models.