At AleaSoft, we provide short-term electricity market price forecasts, covering up to a ten-day horizon. The forecasts have 15-minute, half-hourly and hourly granularity, depending on the market.

These forecasts serve as a guide for trading in the day-ahead market, as well as for optimising and planning energy production and consumption, and are therefore useful for electricity generators, utilities, direct consumers, retailers and traders.

The forecasts are provided in product and service formats.

• The product format involves the installation of an application that works automatically, both for updating the data and for obtaining the forecasts.
• The service format involves sending daily, 365 days a year, updated forecasts of prices and the main explanatory variables.

The main explanatory variables used in short-term energy market price forecasting are demand, which in turn uses temperature and labour as explanatory variables, and the production of different technologies, including wind, solar, hydro and nuclear energy.

AleaSoft forecasts are based on the Alea methodology, which is a unique methodology for energy forecasting, guaranteeing the highest degree of efficiency and accuracy. This methodology has been in use for more than 27 years in some of the most important energy sector companies in Europe. The Alea methodology combines Artificial Intelligence, time series analysis and statistical models.