United StatesEnergy and utilities2017 – ongoingConsolidated Edison
AI monitoring of smart-meter health
Con Edison deployed AI applications to detect meter problems and manage overheating alerts
Problem
Con Edison's smart-meter rollout generated large volumes of measurements that needed to support operational monitoring and customer safety.
Approach
Con Edison worked with C3 AI on an enterprise AI program that began with advanced metering infrastructure. A deployed overheating-monitoring application detected hot sockets and managed issue resolution within C3 AI AMI Operations. The wider program also predicted meter-health problems.
Results
No published figures
Takeaway
Meter monitoring connected anomaly detection with the work needed to resolve equipment problems.
Categories
- Size
- Large enterprise
- Industry
- Energy and utilities
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and ML
- Adoption
- Partner co-development
- Evidence
- Vendor case study
Sources
Source summaries
C3 AI described deployed grid applications at Con Edison. Its account included a hot-socket monitoring system that detected overheating and managed subsequent issue resolution.
C3 AI dated the initial AMI collaboration to 2017. It described meter-health prediction and customer-safety applications within the continuing enterprise AI program.
Full details are in the original sources.