Hierarchical transfer learning with applications for electricity load forecasting

1 code implementation • 16 Nov 2021 • Anestis Antoniadis, Solenne Gaucher, Yannig Goude

The recent abundance of data on electricity consumption at different scales opens new challenges and highlights the need for new techniques to leverage information present at finer scales in order to improve forecasts at wider scales.

Additive models Load Forecasting +1