This session explores how integrating artificial intelligence (AI) with physics-based models enhances power plant efficiency, profitability, and energy market performance. Attendees will learn how AI supports complex data analysis, forecasting, and automated decision-making. Two real-world case studies will be presented: one detailing improved dispatch planning at a district heating facility, and another highlighting AI-driven operations in a hybrid plant using solar, batteries, hydrogen, and fuel cells. The session offers practical insights into leveraging AI for optimized dispatch, lifecycle management, and energy delivery. Designed for power generation professionals, it provides actionable strategies for applying AI in next-generation energy system management.

Flexing for the Future: Enhancing Combined Cycle Plant Flexibility

As energy markets shift, gas-fired combined cycle power plants (CCPPs) must adapt to increasingly dynamic operating conditions. Frequent cycling and transient operations are becoming the norm, demanding greater flexibility and smarter control. This session explores how CCPPs can boost reliability, responsiveness, and market competitiveness through targeted control system upgrades and the strategic use of artificial intelligence. Learn how to future-proof your plant and thrive in a fast-changing grid environment.