2026 Event Schedule

The utility sector is undergoing a transformative shift as next-generation AMI technologies and smart meter data analytics redefine how energy system are managed. With the emergence of AMI 2.0 – featuring edge-computing meters, real-time data streams, and AI-enhanced analytics – utilities are now equipped to move beyond traditional sample-based load research toward leveraging near-total data coverage across their networks. This evolution enables more precise demand forecasting, dynamic rate design, and personalized customer engagement. Smart meter data is no longer just about billing accuracy; it now powers advanced demand response programs, supports distributed energy resource (DER) integration, and enhances grid resiliency at both distribution and bulk system levels. As utilities align with decarbonization goals and regulatory mandates, the ability to harness high-frequency, granular data is becoming central to operational efficiency and strategic planning. As smart meters become more widespread and granular, the need—and opportunity—to extract actionable insights from this vast data resource continues to grow. Smart meter analytics can enable smarter decision-making across the energy ecosystem, from grid operators and utilities to customers and third-party providers. 

This panel will explore how advanced AMI analytics are transforming use cases such as real-time load forecasting, outage detection, and time-varying pricing. By leveraging techniques like load disaggregation and anomaly detection, utilities can better manage distributed energy resources (DERs), improve asset utilization, and reduce operational costs. On the customer side, smart meter data enables personalized energy insights, behavioral nudges, and tailored incentives—unlocking new levels of engagement and participation in energy efficiency and demand response programs.

Panelists from Southern Company, Duke Energy, and Commonwealth Edison (ComEd, an Exelon Company), Tata Consultancy Servies (TCS), and Gridient will address key challenges, including data access limitations, standardization hurdles, privacy concerns, and regulatory gaps in this panel. The discussion will highlight practical deployment experiences, cutting-edge AI/ML models, and evolving business models for data monetization and customer value creation. As the grid becomes more decentralized and dynamic, smart meter data analytics will be a critical tool for resilience, sustainability, and customer-centric innovation. This session is essential for stakeholders aiming to harness the full potential of smart meter data.