Project Overview:
The nation’s electrical grid is not infallible to threats leading to interrupted service or physical damage. REDLY is developing scalable methods to provide improved monitoring, prediction, and mitigation of these threats. Our approach focuses on physics-informed machine learning techniques that are robust to missing or falsified data due to cyber activities. Optimization-based methods are being developed to improve and utilize these classifiers and provide rapid mitigation.
Project Partners: Georgia Tech