United StatesEnergy and utilities2024 – ongoingEntergy
Distribution transformer failure prediction from smart-meter data
Entergy said smart-meter AI helped prevent 536 unplanned outages in one year
Problem
Distribution transformer failures caused unplanned power interruptions. Entergy wanted to identify equipment at risk early enough to schedule maintenance.
Approach
Entergy applied AI to performance data from its advanced metering infrastructure to predict transformer failures. Reliability management teams used the application to support preventive maintenance.
Results
Takeaway
The application connected meter readings to maintenance decisions. Entergy did not disclose how it calculated the avoided outages.
Categories
- Size
- Large enterprise
- Industry
- Energy and utilities
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and ML
- Adoption
- Built in-house
- Goal
- Quality and risk
- Evidence
- Company's own claim
Sources
Source summaries
Entergy described an operational AI application that predicted transformer failures using smart-meter data. It attributed 536 prevented outages and over 48,000 avoided outage minutes to the application over one year.
Full details are in the original sources.