The Need. Utilities need software tools that help them plan for and recover from extreme events.
Objective. This project will develop and deploy a suite of novel software tools to anticipate, absorb, and recover from grid events by demonstrating predictive analytics capabilities, combining state-of-the-art artificial intelligence and machine learning techniques, and controlling distributed energy resources (DERs). The tools will be integrated into an extensible and open platform.
Planned Outcome. Predictive analytics, machine learning, and artificial intelligence will help grid operators anticipate and recover from grid events more quickly.