A deep generative model for probabilistic energy forecasting in power systems: normalizing flows

2 code implementations • 17 Jun 2021 • Jonathan Dumas, Antoine Wehenkel Damien Lanaspeze, Bertrand Cornélusse, Antonio Sutera

This paper presents to the power systems forecasting practitioners a recent deep learning technique, the normalizing flows, to produce accurate scenario-based probabilistic forecasts that are crucial to face the new challenges in power systems applications.

energy management Management +1