• Short-term forecasting of CO2 emission intensity in power grids by machine learning 

      Leerbeck, Kenneth; Bacher, Peder; Junker, Rune Grønborg; Goranović, Goran; Corradi, Olivier; Ebrahimy, Razgar; Tveit, Anna; Madsen, Henrik Tams (Peer reviewed; Journal article, 2020)
      With the aim of enabling effective flexible electricity demand, a machine learning algorithm is developed to forecast the CO2 emission intensities in European electrical power grids distinguishing between average and ...