AI Grid Outage Prediction

Uses AI to predict likely outage locations and timing from weather, asset condition, and historical interruption data to improve preparedness and restoration.

The Problem

“Predict grid outages before customers lose power”

Organizations face these key challenges:

Limited visibility into where outages will occur at feeder/device level, leading to inefficient crew staging and longer restoration times

Siloed data across OMS/SCADA/AMI/asset/vegetation and inconsistent data quality, making timely risk assessment difficult

Growing weather volatility and DER complexity increase outage frequency and uncertainty, overwhelming manual planning and rule-based thresholds

Impact When Solved

5–15% reduction in SAIDI/CMI during major events via proactive staging and targeted pre-event switching/mitigation3–8% fewer truck rolls and patrol miles, reducing restoration OPEX and improving crew safety$5M–$25M annual cost avoidance for mid-to-large utilities through lower overtime/mutual aid, fewer penalties, and improved reliability performance

The Shift

Real-World Use Cases

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