Data for: A machine learning approach for forecasting hierarchical time series
Paolo Mancuso · Data Archiving and Networked Services (DANS) · 2021
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.