Before revision:  A recently developed deep learning model known as normalizing flows is used to generate quantile forecasts of renewable generation . They provide a general mechanism for defining expressive probability distributions, only requiring the specification of a base distribution and a series of bijective transformations.
After revision:  A recently developed deep learning model known as normalizing flows is used to generate quantile forecasts of renewable generation for the robust optimization problem. This technique provides a general mechanism for defining expressive probability distributions, only requiring the specification of a base distribution and a series of bijective transformations.