AleaSoft offers long-term electricity demand forecasts, with a horizon of up to 40 years and monthly or annual granularity. These forecasts include different types: total demand, minimum and maximum hourly demand for the month or year, and high and low voltage demand, at both national and regional levels.

The forecasts are offered in product format and service format.

• The product format consists of installing an application that operates automatically, for both data updates and forecast generation. The application includes tools for calculating confidence bands, defining temperature and socio-economic scenarios, as well as analyzing demand sensitivity to temperature and economic evolution.
• The service format consists of sending updated demand forecasts, with the option to include confidence bands in the forecast.

The main explanatory variables used are meteorological data such as temperature, economic indicators such as economic growth (GDP) and industrial activity (IPI), as well as demographic evolution (population) and employment. Anticipated technological scenarios in the coming years, such as electric vehicles, batteries, and self-consumption, as well as their impact on demand volume, are also taken into account.

These forecasts are useful for long-term energy planning, as well as for financing renewable energy projects. They are therefore of great utility for almost all actors in the electricity sector: Transmission System Operators (TSO), regulators, IPPs, utilities, control centers, suppliers, distributors, renewable project developers, and investors.

AleaSoft’s scientific methodology, which combines Artificial Intelligence, time series, and statistical techniques, has demonstrated its quality and accuracy over more than 27 years of experience.