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.

Research Impact

Original Report