Conditional Flow Matching (CFM) is a fast way to train continuous normalizing flow (CNF) models. CFM is a simulation-free training objective for continuous normalizing flows that allows conditional ...
Abstract: The last decade has seen significant changes in the power grid complexity due to the increased integration of multiple heterogeneous distributed energy resources. Accurate and fast power ...
Construction of an Outlier-Immune Data-Driven Power Flow Model for Model-Absent Distribution Systems
Abstract: For many actual distribution systems, an accurate system model might not be available, so the operator has to fit an approximate power flow model over a set of field measurements. To ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback