Hierarchical Forecasting at Scale

Olivier Sprangers, Wander Wadman, Sebastian Schelter +1

Existing hierarchical forecasting techniques scale poorly when the number of time series increases. We propose to learn a coherent forecast for millions of time series with a singl…