46 citations · 48 across the 13 of their papers we have counts for
3 papers · 1 filter
Residual Correction Models for AC Optimal Power Flow Using DC Optimal Power Flow Solutions
Muhy Eddin Za'ter, Bri-Mathias Hodge, Kyri Baker
Solving the nonlinear AC optimal power flow (AC OPF) problem remains a major computational bottleneck for real-time grid operations. In this paper, we propose a residual learning p…
Learning a Generalized Model for Substation Level Voltage Estimation in Distribution Networks
Muhy Eddin Za'ter, Bri-Mathias Hodge
Accurate voltage estimation in distribution networks is critical for real-time monitoring and increasing the reliability of the grid. As DER penetration and distribution level volt…
Semi-Supervised Multi-Task Learning Based Framework for Power System Security Assessment
Muhy Eddin Za'ter, Amirhossein Sajadi, Bri-Mathias Hodge
This paper develops a novel machine learning-based framework using Semi-Supervised Multi-Task Learning (SS-MTL) for power system dynamic security assessment that is accurate, relia…