A deep generative model for probabilistic energy forecasting in power systems: normalizing flows - Dumas, Jonathan; Wehenkel, Antoine; Lanaspeze, Damien; Cornélusse, Bertrand; Sutera, Antonio (Applied energy, 2022)
Keywords: case studies; decision making; Deep learning; electricity; energy; Energy forecasting; Generative adversarial networks; Normalizing flows; solar energy; Time series; uncertainty; Variational autoencoders; wind; Deep learning; Variational autoencoders; Generative adversarial networks; Normalizing flows; Energy forecasting; Time series