Please join us for the following presentation in ITE 336 at 2pm:
Title: AI-Enabled Resilient Power Systems: From Learning-Based Control to Real-World Grid Intelligence
Modern power systems are facing growing operational uncertainty from inverter-based resources, rapidly increasing data center loads, extreme weather, and expanding cyber-physical infrastructure. These changes require grid intelligence that is not only data-driven, but also physically grounded, scalable, and deployable in real-world operations. This seminar presents a research program on AI-enabled resilient power systems organized around three connected directions: learning-based control for large-scale grid operation, edge intelligence for infrastructure monitoring and situational awareness, and digital twins for climate-aware energy resilience. The talk highlights how power system physics, data-driven learning, and deployment considerations can be integrated to develop practical solutions for grid control, monitoring, and decision support. It concludes with a future research vision for uncertainty-aware AI decision intelligence, human-centered digital twins, and resilient power systems that can adapt to emerging operational, environmental, and societal challenges.
For more information, contact: Brandy Ciraldo at brandy.ciraldo@uconn.edu