Forecasting Engine
Anticipating the market to make better decisions
The Forecasting Engine uses in-house predictive models developed to anticipate trends in electricity markets. It analyzes historical data, weather variables, demand patterns, and price behavior to generate highly accurate forecasts.
The platform currently features operational models for Day-Ahead market forecasting, achieving a 3.57% average hourly error, and continues to evolve with new models for intraday markets and balancing services.
- Day-Ahead market forecasting.
- In-House Forecasting Models.
- Expansion into intraday markets.
- Development of models for balancing services.