Forecasting has always been at the forefront of decision making and planning. The
uncertainty that surrounds the future is both exciting and challenging, with individuals and …

Collections of time series formed via aggregation are prevalent in many fields. These are
commonly referred to as hierarchical time series and may be constructed cross-sectionally …

A lot of controversy exists around the choice of the most appropriate error measure for
assessing the performance of forecasting methods. While statisticians argue for the use of …

COVID-19 disrupted international tourism worldwide, subsequently presenting forecasters
with a challenging conundrum. In this competition, we predict international arrivals for 20 …

A series of recent papers introduce the concept of Forecast Reconciliation, a process by
which independently generated forecasts of a collection of linearly related time series are …

The intermittency of renewable energy sources, such as wind and solar, means that they
require reliable and accurate forecasts to integrate properly into energy systems. This review …

Demand forecasts are the basis of most decisions in supply chain management. The
granularity of these decisions lead to different forecast requirements. For example, inventory …

A geometric interpretation is developed for so-called reconciliation methodologies used to
forecast time series that adhere to known linear constraints. In particular, a general …

Organizations require short-term up to long-run aggregated forecasts for making strategic,
tactical, and operational decisions for their supply chain management. In supply chain …

Travel restrictions and social distancing imposed to curb the spread of the new coronavirus
have been strongly hitting tourism since March 2020. Tourism forecasting literature …