AI Case Study

Enel is reducing operational and capital expenses by predicting maintenance and improving asset performance using machine learning

Enel implemented C3 IoT's solution for predictive maintenance in order to avoid and reduce the occurrence of failures and faults. Using real-time network sensor data, smart meter data, asset maintenance records, and weather data the application uses machine learning an AI analytics to predict feeder failure. The company reports that it has managed to improve prediction performance.

Industry

Utilities

Electricity

Project Overview

Predicting maintenance and improving asset performance:
"To improve grid reliability and reduce the occurrence of faults, Enel deployed the C3 Predictive Maintenance application for 5 control centers. The application applies advanced AI techniques to analyze real-time network sensor data, smart meter data, asset maintenance records, and weather data to predict feeder failure.

Key innovations in this project include the ability to construct Enel’s as-operated network state at any point in time using an advanced graph network approach, and the use of an advanced machine learning framework that continuously learns to improve prediction performance."

Reported Results

"With C3 Predictive Maintenance, Enel is reducing operational and capital expenses by prioritizing maintenance and replacement activities."

Technology

"The application uses AI to analyze real-time network sensor data, smart meter data, asset maintenance records, and weather data to predict feeder failure."

Function

Operations

Field Services

Background

"Global Fortune 100 Enel is executing an enterprise-wide digitalization strategy aimed at increasing efficiency, developing new services, and spreading a digital culture across the organization. Central to achieving Enel’s goals is the large-scale deployment of C3 IoT’s big data, predictive analytics platform (PaaS) and SaaS applications. Enel operates the largest enterprise IoT system across 20 million smart meters across Italy and Spain."

Benefits

Data

"real-time network sensor data, smart meter data, asset maintenance records, and weather data"