As grids become more dynamic, operating them increasingly depends on data sharing, automation and intelligence. From solar energy and storage to EVs and flexible loads, coordinating thousands of distributed assets require shared data models, interoperable platforms and predictive analytics.

This session brings together operators, aggregators, retailers and technology experts who are using AI, machine learning and open data frameworks to forecast demand, manage flexibility and automate dispatch in real time. You will gain insight into how these technologies are being applied to detect congestion before it happens, enable proactive grid operation and build trustworthy verification systems that support flexibility markets at scale.