Data for: A machine learning approach for forecasting hierarchical time series

Published: 02-05-2021| Version 1 | DOI: 10.17632/njdkntcpc9.1
Paolo Mancuso,
Veronica Piccialli,
Antonio M. Sudoso


The dataset consists of 118 daily time series, representing the demand of pasta from 01/01/2014 to 31/12/2018. Besides univariate time series data, the quantity sold is integrated by information on the presence or the absence of a promotion.