AI Outage Management System

The Problem

“Slow, inaccurate outage restoration and communication”

Organizations face these key challenges:

Delayed and fragmented outage signals (customer calls, AMI, SCADA) causing slow fault localization and misclassification of outage scope

Inefficient crew dispatch and switching decisions leading to unnecessary truck rolls, longer restoration times, and higher safety risk

Inaccurate ETAs and inconsistent customer/regulatory communications, increasing call center volume, complaints, and compliance exposure

Impact When Solved

5–15% reduction in SAIDI and 5–12% reduction in CAIDI via faster diagnosis and optimized restoration sequencing3–8% fewer truck rolls and 2–6% lower storm overtime/contractor spend through better triage and crew routing10–25% reduction in inbound outage-related calls and improved regulatory reporting accuracy through automated, consistent ETAs and event narratives

Real-World Use Cases

Smart Grid Management and Optimization

A smart grid is like upgrading from an old landline to a modern smartphone for your electricity network. Instead of just pushing power one way from big plants to homes, the grid becomes two‑way, with sensors and software that can see what’s happening in real time, shift loads, use home batteries and solar panels, and prevent or shorten outages.

Time-SeriesEmerging Standard

9.0

AI Grid Congestion Management

This AI helps optimize the layout of power grids to reduce congestion without increasing costs or carbon emissions.

optimizationgrowing

8.0