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 …

Forecast combinations have flourished remarkably in the forecasting community and, in
recent years, have become part of mainstream forecasting research and activities …

In many supply chains, firms staged in upstream of the chain suffer from variance
amplification emanating from demand information distortion in a multi-stage supply chain …

This paper describes the M5 “Uncertainty” competition, the second of two parallel
challenges of the latest M competition, aiming to advance the theory and practice of …

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

This paper provides a non-systematic review of the progress of forecasting in social settings.
It is aimed at someone outside the field of forecasting who wants to understand and …

Time series forecasting is fundamental for various use cases in different domains such as
energy systems and economics. Creating a forecasting model for a specific use case …

A semiconductor distributor that plays a third-party role in the supply chain will buy diverse
components from different suppliers, warehouse and resell them to a number of electronics …

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 …

Forecast combinations were big winners in the M4 competition. This note reflects on and
analyzes the reasons for the success of forecast combination. We illustrate graphically how …