Power Resilience Planning under the Threat of Artificial Intelligence

The earth is an unstable planet. Change is constant and frequently chaotic. It is very important to plan carefully to manage changes that can be anticipated now, and to cover potential issues that might not yet have been discovered. The dawn of artificial intelligence (AI) presents a host of new concerns and opportunities. The criteria for evaluation are diverse and complex. Cybersecurity is absolutely essential, yet advances in technology have created an internet of things (IoT) where threat vectors might gain access to critical command and control elements through trillions of connected IoT devices. Whereas elegant zero trust cybersecurity models can be constructed and deployed, the vast majority of successful attacks involve a human element. Disruptive change makes decisions on any future course of action very difficult to evaluate. Distributed energy resources (DERs) can be designed to benefit individuals and improve the resilience of the power grid. We propose to direct the deployment of limited resources in an efficient fashion by evaluating the multi-discipline criteria using a hierarchical decision model (HDM), evaluated by human subject matter experts (SMEs) and generative artificial intelligence (GenAI).