Artificial Intelligence

Artificial intelligence is reshaping the energy landscape—and electric utilities are uniquely positioned to utilize generative AI and large language models (LLMs) to drive innovation, improve resilience, and enhance customer experience.

*This schedule is filtered with Artificial Intelligence sessions.

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8:15 AM
  1. Forum
    75 mins

    Is Meeting Data Center Demand an Opportunity to Redefine the Future for Utilities?

    Demand from data centers and AI represents the most significant load growth challenge for the utility sector in a generation. However, this challenge isn't just about adding capacity but is instead about fundamentally rethinking how, when, and where that power is generated and delivered. Ensuring reliable, affordable power for all will create transformative opportunities across the sector.

    Join EPRI President and CEO Arshad Mansoor for an opening address that will detail how and why meeting this demand isn't just about energy efficiency, but a critical opportunity for utilities to shape their own future and enhance system resilience. His remarks will highlight how utilities can move beyond traditional planning to address data centers' unique needs and what it means to lead the conversation around distributed generation and new energy sources. Attendees will learn strategies to establish the next-generation energy paradigms that will help define the path forward.

    The Next Evolution of AI: Defining the Future of Utility Forecasting

    Unprecedented demand from data centers and AI mean that forecasting is no longer about extrapolating historical trends but instead about anticipating behaviors and needs, driven by DERs, extreme weather, and new load profiles. This panel will explore how leaders from across the space are doing so, as they move beyond proof-of-concept and discuss production-ready models that fundamentally redefine grid planning and operations.

    Panelists will outline what it means to leverage advanced AI to simulate thousands of real-world future grid states, enabling utilities to stress-test resource portfolios and optimize interconnection queues by accurately forecasting unknown, high-growth load types. The discussion will also address the necessary data standards and required governance to ensure AI-driven forecasting is not only accurate but also understandable.

10:45 AM
  1. North Ballroom
    45 mins
      As electric grids become more dynamic, distributed, and digitally connected, and as the pace of change accelerates—utility control centers must evolve to manage vast volumes of data, adapt to rapidl …
12:45 PM
  1. Forum
    45 mins
    This panel will discuss the legal challenges and recent regulatory developments that have affected the provision of energy to data centers in recent months.  This is a quickly developing area of law, …
1:45 PM
  1. North Ballroom
    45 mins
    Demand growth driven by data centers and AI utilities and developers face increasing complexity in planning and integration. AI-driven infrastructure is further reshaping demand characteristics, intro …