This presentation will have two parts:

Integrated Control Room of Future: Distribution Use Cases

Fei Ding – NLR

This presentation introduces a vision for the Integrated T&D Control Room of the Future, centered on AI-enabled digital twins, advanced analytics, and unified situational awareness. Focusing on key distribution use cases, such as DER orchestration, outage prediction, resilience-driven restoration, we demonstrate how physics-informed models, machine learning, and human-centered decision support can enable coordinated, adaptive, and economically optimized grid planning and operations under rapidly evolving system conditions.

Control Room of the Future: AI Meets Digital Twin

Seong Choi – NLR

As the energy grid becomes increasingly complex and dynamic, utility control centers must adapt to process vast amounts of data, respond quickly to changing grid conditions, manage floods of alarms, and maintain reliability in an era of high stress and uncertainty. Can Artificial Intelligence (AI) truly live up to its promise to support this transformation, or is it more hype than help? This presentation examines the potential for AI to move from concept to reality in transmission and distribution grid operations. Join experts from NREL as they demonstrate the capabilities of eGridGPT, a cutting-edge Generative AI model designed specifically for NERC compliant on-premise use in grid control rooms. By integrating eGridGPT with existing control room tools and Digital Twin, operators can gain enhanced guidance and decision support, leading to improved situational awareness, operational effectiveness, security and reliability.
The presentation will explore two key takeaways:
• AI is transitioning from theory to practice in utility control centers, enabling more informed decision-making and increased grid reliability by understanding operator’s language.
• Practical applications of AI + Digital Twin are emerging to enhance outage response, dispatch strategies, SCADA alarm management and overall grid resilience, particularly under high levels of intermittent renewable energy penetration and extreme weather conditions.