2 papers
eess.SY2026
Estimating Density Functions for Probabilistic Power Flow Using Invertible Neural Networks
Weijie Xia, James Ciyu Qin, Edgar Mauricio Salazar Duque +4
Probabilistic power flow (PPF) is essential for quantifying operational uncertainty in modern power systems with high penetrations of renewable generation and flexible loads. Conve…
eess.SY2026
A day-ahead market model for power systems: benchmarking and security implications
Andrej Stankovski, Blazhe Gjorgiev, James Ciyu Qin +1
Power system security assessments, e.g. via cascading outage models, often use operational set-points based on optimal power flow (OPF) dispatch. However, driven by cost minimizati…