North American Forecasting Model: Outage, Damage and Load Resilience
A Scalable “MEGAPROJECT” for National Resilience:
PI: Diego Cerrai (UConn)
Co-PIs:
Marina Astitha, E. Anagnostou, D. Song (UConn);
Jeffrey Freedman, Sukanta Basu (Albany)
What’s Driving the Economy This Week?
Affordability for Ratepayers: Every hour saved in storm restoration translates to millions of dollars in avoided economic loss for New York businesses. WISER’s integration with the NYS Mesonet provides high-resolution data that allows utilities to "pre-stage" crews with surgical precision, directly lowering the O&M costs that impact rate cases. This cost avoidance focus has driven the North American Forecasting Initiative, which will pool North American energy company data sets and capabilities, a first in the nation and perhaps the world. NYSERDA is one of the visionaries for this initiative, summarized as follows:
Industrial Relevance
Storm outages increase financial risks & undermine reliability. Current prediction gaps lead to inefficient resource allocation.
Develop the North American Outage Prediction Model to predict system failures across the entire CONUS + Quebec, blending proprietary & public data
Project Goal
Phased Roadmap
The Proposal for Phase 1 is currently on a 24-month plan per its deliverables.
Phase 1: Local
(Years 1-2)
ISO-NE, NYISO, CAISO. Operational OPM Pilot
Phase 2A: Regional
(Years 3-4)
East Coast (FL to QC) & West Coast (CA to WA)
Phase 2B: National
(Years 5-6)
Full CONUS + Quebec Deployment
Technical Approach
Collaborative Teams: Weather (AI-enhanced forecasting, CONUS404, HRRR) & Outage (Integrate proprietary + public EAGLE-1 Data to fill gaps).
First modular, scalable OPM for all WISER members.
High ROI, attracts new utilities.
Synergies with Demand Models.