Regional Electric Utility · Energy & Utilities · Denver, CO · 14 weeks
Grid reliability analytics deployed to 180 operations staff
A regional electric utility with 1.4 million customers struggled because its grid reliability data was scattered across six systems, including SCADA, OMS, GIS, and work management. Operations teams lacked a unified view, leading to slower restoration decisions. We developed a grid reliability analytics platform that cut the average outage restoration time by 34 minutes.
Challenge
The utility’s operations center relied on six separate screens, each showing a different system. Coordinators had to manually piece together outage status, crew locations, equipment history, and grid topology. This disjointed setup added 30 to 45 minutes to every restoration decision during outages.
Outcome
We cut the average outage repair time by 34 minutes. Streamlining crew dispatch boosted efficiency by 28%, cutting overtime expenses by $1.4 million annually. Using predictive failure scores, we flagged 142 high-risk assets and scheduled maintenance ahead of issues, stopping about 18 major outages in the first year.
Results
- 34 minutes Reduction in mean time to restore per outage
- $1.4M Annual overtime cost reduction
- 142 High-risk assets identified for proactive maintenance
- 18 Estimated major outage events prevented in year one
Before, our restoration coordinators had to juggle six different screens during outages. Thinklytics built one dashboard that cut our average repair time by 34 minutes. Saving that much time on every outage really adds up and makes a big difference for our customers.