155 citations · 356 across the 34 of their papers we have counts for
4 papers · 1 filter
Daily peak electrical load forecasting with a multi-resolution approach
Yvenn Amara-Ouali, Matteo Fasiolo, Yannig Goude +1
In the context of smart grids and load balancing, daily peak load forecasting has become a critical activity for stakeholders of the energy industry. An understanding of peak magni…
Hierarchical transfer learning with applications for electricity load forecasting
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…
State-Space Models Win the IEEE DataPort Competition on Post-covid Day-ahead Electricity Load Forecasting
Joseph de Vilmarest, Yannig Goude
We present the winning strategy of an electricity demand forecasting competition. This competition was organized to design new forecasting methods for unstable periods such as the…
Transfer Learning for Linear Regression: a Statistical Test of Gain
David Obst, Badih Ghattas, Jairo Cugliari +3
Transfer learning, also referred as knowledge transfer, aims at reusing knowledge from a source dataset to a similar target one. While many empirical studies illustrate the benefit…