2026 Summer Workshops:  Forecasting and Meteorology in Power Systems Workshop

Monday, June 15, 2026

12:00 p.m. – 1:15 p.m.
Registration & Lunch
Registration Location: Crystal Foyer
Lunch Location: Silverton Ballroom (2nd Floor)

1:15 p.m. – 3:00 p.m.
Opening Plenary: Latest Advancements in Renewables Forecasting
Session Chair: Justin Sharp, Senior Technical Leader, Electric Power Research Institute (EPRI)
Location: Crestone Ballroom

The opening session will share some of the  major updates from both weather prediction source data and individual forecast providers with a focus on how both meteorology and AI are working together to ultimately produce the forecasts that are used by system operators and renewable suppliers.

  • Update on NOAA’s High Resolution Rapid Refresh Forecasting Model
    Dave Turner, Senior Scientist, NOAA Global Systems Laboratory
  • Blending Observations, Physical Models, and AI and Machine Learning Techniques to Produce Accurate Weather Models
    Sue Haupt, Senior Scientist, NSF National Center for Atmospheric Research (NCAR)
  • AI for Operational Forecast Production
    Lars Rohwer, Senior Meteorologist, Energy & Meteo Systems (Germany)
  • Using Ensemble AI Models to Better Predict Ramping Events
    Craig Collier, Chief Meteorologist, Head of Operations, Energy Forecasting Solutions

3:00 p.m. – 3:30 p.m.
Break
Location: Crystal Foyer

3:30 p.m. – 5:15 p.m.
Session 2F: Damage Prediction from Extreme Weather Events
Session Chair: Erik Smith, Technical Leader, Electric Power Research Institute (EPRI)
Location: Crestone Ballroom

Extreme weather such as ice storms, hurricanes, and other events can damage grid infrastructure. How do we predict these events and the damage that they may inflict?

  • Connecting Climate to Weather Extremes to Damages: Lessons from Large Power Transformers to the Utility-Scale
    Adam Schlosser, Deputy Director and Senior Research Scientist, MIT Center for Sustainability Science and Strategy
  • Numerical Weather Prediction Skill in Predicting Damaging Extreme Compound Weather Events
    Jeff Freedman, Senior Research Faculty, Atmospheric Sciences Research Center, University at Albany, State University of New York
  • Power Outage Prediction and Grid Resilience: Scaling from Utility-Specific Forecasts to Regional and National Models
    Diego Cerrai, Assistant Professor, Department of Civil & Environmental Engineering, University of Connecticut
  • Machine Learning and Outage Prediction Modeling at PG&E
    Scott Strenfel, Senior Director, Meteorology Operations and Fire Science, Pacific Gas & Electric (PG&E)

Tuesday, June 16, 2026

7:00 a.m. – 8:00 a.m.
Breakfast
Location: Silverton Ballroom (2nd Floor)

8:00 a.m. – 9:45 a.m.
Session 3F: Emerging Issues in Solar Forecasting
Session Chair: Sue Haupt, Senior Scientist, NSF National Center for Atmospheric Research (NCAR)
Location: Crestone Ballroom

This session examines emerging issues that can affect solar output including smoke, hail, snow, storms, and solar droughts.

  • Specific Applications of Near-Term (0 to 48 hours ahead) Probabilistic Forecasting
    Thomas Haley, Lead Data Scientist, Clean Power Research
  • Bigger, Fewer, and Farther North: How Climate Change is Redrawing the Solar Hail Risk Map
    Daran Rife, Principal Scientist, Energy Systems, DNV
  • Extreme Event Solar Forecasting – Wildfires, Storms, Snow
    Peter Zadow, Senior Meteorologist, Energy & Meteo Systems (Germany)
  • Probabilistic Forecasting of Winter Weather Impacts on Solar Power Production
    Leigh Munchak, Senior Meteorological Data Engineer, Vaisala
  • Dunkelflaute and Solar Drought Potential in North America
    Jared Lee, Scientist, NSF National Center for Atmospheric Research (NCAR)

9:45 a.m. – 10:15 a.m.
Break
Location: Crystal Foyer

10:15 a.m. – 12:00 p.m.
Session 4F: Wildfire Risk and PSPS Forecasting
Session Chair: Alison Silverstein, Consultant, Alison Silverstein Consulting
Location: Crestone Ballroom

Dry and drought conditions combined with high winds can lead to wildfire risk. How do we forecast for high wildfire risk and potential public safety power shutoff events?

  • Predicting Risk, Preventing Impact: Fire Potential & PSPS Forecasting at PG&E
    Scott Strenfel, Senior Director, Meteorology Operations and Fire Science, Pacific Gas & Electric (PG&E)
  • Xcel Energy Wildfire Forecasting and Tools
    Zach Tolby, Director of Wildfire Meteorology & Fire Science, Xcel Energy
  • Federal Wildfire Research
    Nick Dawson, Project Scientist, NSF National Center for Atmospheric Research (NCAR)
  • Data-Driven Analysis of Wildfire Drivers Across Past and Future Conditions
    Grant Buster, Data Scientist, National Laboratory of the Rockies (NLR)

12:00 p.m. – 1:15 p.m.
Lunch
Location: Silverton Ballroom (2nd Floor)

1:15 p.m. – 3:00 p.m.
Session 5F: Probabilistic Applications by Operators
Session Chair: Nitika Mago
, Director, Electric Grid Operations, Electric Reliability Council of Texas (ERCOT)
Location: Crestone Ballroom

This session will share some of the key new and evolving applications by utilities and system operators in how they use probabilistic forecasts in their operational procedures, and potentially include discussion of how long-term probabilistic forecasts may be  used in planning processes as well.

  • Operationalizing Uncertainty through MISO’s Uncertainty Platform
    Matt Campbell, Manager, Operations Risk Assessment, Midcontinent Independent System Operator (MISO)
  • Probabilistic Applications in New England Operations
    Jaren Lutenegger, Director, Operational Performance, Training and Integration, Independent System Operator New England (ISO-NE)
  • Communicating Forecast Uncertainty in Actionable Ways
    Matt Cote, Director of Forecasting, UL Solutions
  • Developing Probabilistic Renewable Generation Forecasts for IPPs
    Karin Gerbi, Director of Product, Amperon

3:00 p.m. – 3:30 p.m.
Break
Location: Crystal Foyer

3:30 p.m. – 5:15 p.m.
Session 6F: Large Load Operational Forecasting & Flexibility
Session Chair: David Larson, Senior Data Scientist, Tapestry
Location: Crestone Ballroom

Large loads can ramp up and down quickly and can oscillate. How do grid operators forecast for large load behavior?

  • Shiuli Subhra Ghosh, Engineer, Dominion
  • Sienna Shi, Operations Engineer, Electric Reliability Council of Texas (ERCOT)
  • Amber Motley, Director, Short Term Forecasting, California Independent System Operator (CAISO)
  • Jeff Bladen, Head of Energy, Verrus

6:30 p.m. – 8:00 p.m.
Networking Reception
Location: Silverton Ballroom (2nd Floor)

Accelerating Change

Thank you to our sustaining members