If a company does not quantify and periodically monitor and control the risk inherent in its future margins, the economic result at the end of the period may differ from the expected, sometimes with irreversible consequences for the business.
Planning the future requires making reliable forecasts about what we expect will happen during the next hours, days, weeks, months or even years. Mathematical models based on machine learning techniques are, by definition, approximations of a complex reality, which will help us to propose more objective actions and strategies to carry out.
Among the applications and tools most requested by our customers are:
Prediction models for spot and forward prices with hourly, daily, weekly and monthly discrimination in different markets and countries.
Prediction models with hourly, daily, weekly and monthly discrimination for customer consumption, demands, weather variables, as well as hydro, wind and solar productions, etc.
Classification models to predict the likelihood of customer churn in a portfolio, the probability of insolvency of potential new customers, the probability of the sign of the deviation of the electrical system, etc.
We offer in-company training sessions tailored to the specific needs of each client.