Purpose: Boosting the energy marketing strategy.
Objectives
Development of a computer system, based on an innovative methodology, for medium and long-term energy price and market forecasting based on Genetic Algorithms and Bayesian Networks, which will generate projections based on current scenarios and historical data.
Key Results
- Technical: Improvement of energy market projection processes
- Strategic: Estimated reduction in economic losses, caused until now by future planning failures, provided by the system developed
- Economic: Commercialization of the software to be produced in the project
Main information
Scope
Development of an adaptive system for creating medium and long-term energy market price forecast scenarios.
Partners / Entities of support
UFPA/FADESP/CENERGEL
Investment (contract)
R$ 2MM
Scalable?
Yes
Stages
Design
October/2022
Kickoff
March/2023
Prototype
March/2024
Tests
September/2024
Validation
February/2024
Implementation
March/2025
Deadline for implementation (in months)
24 months
P.S.:
Deadline: March/2025
