Distributional regression (DR) refers to regression methods that model the entire conditional probability distribution of a response variable given a set of explanatory variables. The generalized ...

A new benchmark study shows that simple linear imputation methods outperform deep learning models when realistic ...

IEEE 30-bus simulations show that fixed linear power-flow models become less accurate as operating conditions expand, while ...