This project will develop machine learning enabled integrated resource planning methodologies to help quantify key resilience elements across integrated energy systems and their vulnerabilities to threats and hazards. This includes the ability to accurately analyze and visualize a region’s critical infrastructure systems ability to sustain impacts, maintain critical functionality, recover from disruptive events. This advanced decision support capability can improve our understanding of these complex relationships and help predict the potential impacts that microreactors and distributed energy resources have on the reliability and resiliency of our energy systems.
Date
Oct 2022
Organization
Source URL
Organization Type
Government