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Found 3 papers, 1 papers with code
Exploring the representativeness of the M5 competition data
The main objective of the M5 competition, which focused on forecasting the hierarchical unit sales of Walmart, was to evaluate the accuracy and uncertainty of forecasting methods in the field in order to identify best practices and highlight their practical implications.
Hierarchical forecast reconciliation with machine learning
First, the proposed method allows for a non-linear combination of the base forecasts, thus being more general than the linear approaches.
Déjà vu: forecasting with similarity
Instead of extrapolating, the future paths of the similar reference series are aggregated and serve as the basis for the forecasts of the target series.
Methodology Applications
