North American Forecasting Model: Outage, Damage and Load

Lead PI: Diego Cerrai (UConn)

Co-PIs: Marina Astitha, E. Anagnostou, D. Song (UConn); Jeffrey Freedman, Sukanta Basu (Albany)

The WISER North American Forecasting Model transforms weather data into actionable intelligence, allowing energy companies to shift from reactive to proactive grid management by integrating AI-driven predictions for:

• Infrastructure damage

• Customer outages

• Energy load spikes

Industry Relevance & Need:

Storm outages increase financial risks and undermine reliability. Current prediction gaps lead to inefficient resource allocation.

Project Goals:

Develop the North American Outage Prediction Model to predict system failures across the entire CONUS + Quebec, blending proprietary and public data.