Moving Beyond Predictions: Using AMI Data to Improve Outage Response

Utilities are under increasing pressure to restore outages faster and with greater accuracy, yet many outage workflows still rely primarily on predictive models. This session presents a real‑world example from Powder River Energy Corporation (PRECorp), which operationalized Itron AMI data to improve outage detection, verification, and situational awareness.

By leveraging targeted AMI meter pings and power quality reads alongside OMS and GIS data, PRECorp can quickly confirm impacted customers, identify mislocated outage predictions, detect single‑phase outages, and validate restoration progress in near real time. Attendees will gain practical insight into how AMI data can be applied today—without replacing existing OMS platforms—to reduce uncertainty, improve dispatch decisions, and strengthen outage response outcomes, with lessons learned and paths toward standards‑based OMS integration.