Login

3rd In-Person Workshop: Foundation Models for the Electric Grid

Feb 11 – 13, 2025
TCS Conference Center
America/Chicago timezone

Contact Us

Session

AI Models and Architecture

Feb 12, 2025, 1:00 PM
Room 1416 (TCS Conference Center)

Room 1416

TCS Conference Center

Argonne National Laboratory 9700 S. Cass Avenue Building 240, TCS Conference Center (north. entrance) Lemont, IL 60439 +1-630-252-2000

Conveners

AI Models and Architecture: Presentations

  • Emil Constantinescu (MCS)

AI Models and Architecture: Panel Discussion

  • Emil Constantinescu (MCS)

Presentation materials

There are no materials yet.

  1. 18. Foundation models for weather and climate
    Johannes Schmude (IBM)
    2/12/25, 1:00 PM

    Seen from a distance, the problem of foundation models for power systems has some similarity with that of foundation models for atmospheric physics. In both cases we are dealing with a system whose fundamental laws are known and simulation is possible, yet computationally expensive. Moreover, in both cases one frequently deals with incomplete information about the current state of the system....

    Go to contribution page
  2. 19. Grid and Energy Sector Resiliency to Hydrological and Meteorological Extreme Events: Foundational Models for Resiliency with AI Models
    Rao Kotamarthi (Argonne National Laboratory)
    2/12/25, 1:20 PM

    Developing a general-purpose AI model for infrastructure resiliency assessments requires integration across a variety disciplines sectors and data heterogeneity and inference for a range of needs. When we talk about resilience to hydrological and meteorological hazards, hazard forecasting at time scales extending from few minutes to 100’s of years is necessary for addressing resiliency of...

    Go to contribution page
  3. 31. The Interplay between AI and Power Systems
    Le Xie (Harvard University)
    2/12/25, 1:40 PM

    This presentation examines two primary dimensions of the evolving interplay between AI and power systems. First, AI’s increasing electricity demand poses both short-run operational and long-run planning challenges, making it necessary to reform and modernize the existing electric grid. Second, new AI capabilities present an unprecedented opportunity to enhance the efficiency, reliability, and...

    Go to contribution page
  4. 20. Physics-informed Learning and Analytics for Power System Risk Assessment and Control with High Penetration of Inverter-based Resources
    Junbo Zhao (University of Connecticut)
    2/12/25, 2:00 PM

    The increasing penetration of stochastic and uncertain inverter-based resources (IBRs), such as wind and solar PVs, has a considerable influence on the power system dynamics, operation, and optimization, causing reliability and resiliency concerns. On the other hand, the power industry is transforming itself from a hierarchical, passive, and sparsely sensed engineering system into a flat,...

    Go to contribution page
  5. 21. Building smarter grids with AI: Insights from EU projects
    Ricardo Bessa (INESC TEC)
    2/12/25, 2:20 PM

    This talk will showcase novel concepts, algorithms, and applications primarily developed within European projects that leverage AI-based systems in smart grids. It will introduce three key concepts: the interdisciplinary framework for AI-driven decision systems in critical infrastructures, developed in the AI4REALNET project (https://ai4realnet.eu); the data-driven evolving models for managing...

    Go to contribution page
Building timetable...