This panel will explore the intersection of generative AI (GenAI)and autonomous energy systems (AES) in tackling increasingly complex energy landscapes. As renewable energy sources, electric vehicles, and smart buildings proliferate, energy systems require advanced management of distributed generation points and billions of connected devices. 
 
Experts from NREL, Duke Energy, and Dominion Energy, will discuss how GenAI can enhance AES capabilities, including optimized controls, real-time operations, robust tolerance to disturbances and outages, interoperability, and scalability. The panel will explore applicable use cases and cutting-edge applications in decentralizing control, streamlining variable renewable generation, and enabling rapid integration of new distributed energy resources. 
 
Drawing from innovative research and demonstrated solutions, panelists will share insights on their efforts implementing GenAI-powered AES in various contexts, from resilient communities to virtual power plants. The discussion will address challenges and opportunities in transitioning to large-scale, low-emissions, intelligent autonomous energy systems with minimal human intervention.  

Sponsored by AWS