Purpose: Boosting the energy marketing strategy.
Objectives
Assertively forecast energy market prices one month in advance (M+1).
Key Results
- Technical: greater security in short-term energy trading operations
- Strategic: Improve liquidity in the energy market and make market prices more credible, allowing companies to switch positions in a more timely manner without large liquidity premiums
- Economic: commercially exploit short-term price variations
Main information
Scope
Development of Artificial Intelligence software for predicting energy prices for the following month, using series from the NEWAVE and DECOMP (Determination of the Coordination of Short-Term Operation, in English) models by means of selection referenced to rainfall forecast models
Partners / Entities of support
Volts Roboctis
Investment (contract)
R$ 1,4MM
Scalable?
Yes
Stages
Design
March/2022
Kickoff
August/2022
Prototype
December/2023
Tests
January/2023
Validation
January/2024
Implementation
February/2024
Deadline for implementation (in months)
18 months
P.S.:
Deadline: August/2024
