Purpose: Optimizing the performance of G&T assets.
Objectives
Development of an intelligent asset management system with a view to enabling better decision-making regarding investments (contracts) in improvements.
Key Results
- Technical: Optimize O&M actions
- Strategic: Increase asset reliability and availability
- Economic: Reduce the variable portion
Main information
Scope
Development of a computational platform with Machine Learning models based on data from operation and maintenance systems for transmission assets at Furnas substations
Partners / Entities of support
IATI
Investment (contract)
R$ 4,5MM
Scalable?
Yes
Stages
Design
February/2022
Kickoff
June/2022
Prototype
June/2024
Tests
January/2025
Validation
May/2025
Implementation
June/2025
Deadline for implementation (in months)
36 months
P.S.:
Deadline: June/2025
