Dive into the transformative potential of artificial intelligence (AI)-enabled meter data disaggregation, analytics, and grid-edge intelligence enabled by second-gen AMI.

This session will explore:

• How AI algorithms are being applied to AMI data, both in the data center as well as at the grid edge, to unlock unprecedented levels of visibility into energy consumption behind the meter.
• The many use cases benefiting from appliance-level energy insights across time and location—including the grid asset impact of appliances/EVs, household-level grid visibility, and even special cases such as loss prevention.
• How distributed intelligence, enabled by AI processing closer to the meter, can improve real-time grid responsiveness, enhance local control capabilities, and reduce latency for critical applications.

Learn how these advancements are empowering utilities to improve load forecasting, optimize grid operations, enhance grid resilience, and personalize customer engagement through data-driven insights derived directly from the meter and processed at the edge.