With large quantities of data typically available nowadays, forecasting models that are trained across sets time series, known as Global Forecasting Models (GFM), regularly outperforming traditional univariate work on isolated series. As GFMs usually share the same set parameters all they often have problem not being localised enough to a particular especially in situations where datasets heter...