AleaSoft offers short, medium and long-term electricity demand forecasts, with granularity of 15 minutes u schedule. Forecasts are available for global electricity markets.
AleaSoft has developed a methodology for energy forecasts that is unique, guaranteeing the highest degree of accuracy, combining statistical techniques, time series and Artificial Intelligence.
Electrical demand forecasts are available at both national and regional levels and are useful for energy planning, management and optimisation. Among the main clients are Transmission System Operators (TSO), Utilities, control centres, marketers and distributors.
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Read more >>AleaSoft offers services for electricity and gas demand forecasts. AleaSoft has developed a methodology for energy forecasting that is unique, guaranteeing the highest degree of accuracy and combining statistical and artificial intelligence techniques.
AleaSoft is a leader in the field of energy demand forecasts, mainly electricity and gas. AleaSoft demand forecasting services are available for the short, medium and long term. AleaSoft supplies energy demand forecasts for most European markets.
Among the main clients are Transmission System Operators, Utilities, marketers and distributors.
AleaSoft offers the following products and services in renewable energy and energy demand forecasting:
The forecasts of short-term energy demand of AleaSoft have a horizon of 10 days with an hourly interval. The forecasts are offered in product format and in service format.
The product format consists of the installation of an application that works automatically, both for updating the data and for obtaining forecasts.
The service format consists of the daily sending of updated demand forecasts and the main explanatory variables.
The main explanatory variables used in short-term demand forecasts are climatological data, such as temperature and wind chill, and work schedule.
The product format consists of the installation of an application that works automatically, both for the update of the data and to obtain the forecasts.
The service format consists of the biweekly or monthly sending of updated demand forecasts.
The main explanatory variables used in medium-term demand forecasts are the data climatological indicators, such as temperature, economic indicators such as economic growth (GDP) and industrial activity (IPI), and the employment.
Long-term energy demand forecasts AleaSoft have a horizon of up to 20 years with a monthly or annual interval. AleaSoft offers different types of long-term energy demand forecasts: total demand, minimum and maximum hourly demand for the month or year, and high and low voltage demand. The forecasts are offered in product format and in service format.
The product format consists of the installation of an application that works automatically, both for the updating data and obtaining forecasts. The application includes tools for obtaining confidence bands, for defining temperature and socioeconomic scenarios and for analysing the sensitivity of demand with respect to temperature and economic evolution.
The service format consists of sending the demand forecasts and the main explanatory variables. The service may also include the sending of the confidence bands of the forecast.
The main explanatory variables used in long-term demand forecasts are climatological data, such as temperature, economic indicators such as economic growth (GDP) and industrial activity (IPI), demographic evolution (population) and employment. In addition, the forecasts take into account the diffusion scenarios of new and existing technologies such as electric vehicles, batteries, self-consumption, among others, and their impact on the volume of demand.
AleaRetail is an Aleasoft solution for generating demand forecasts for the customer portfolio short-term and medium-term supply points. The forecasts have an hourly interval and a horizon of up to 7 days in the short term and up to 1 year in the medium term. The solution generates forecasts for each supply point, the totals by rate, the totals by portfolio and the general total.
AleaRetail includes automatic data import processes, which detect the supply points that are registered or deregistered, in addition to the forecast generation processes and the export of the results.
The forecasts are made using the AleaModel or the BOE model, depending on which one obtains the best results.
The AleaModel uses employment as an explanatory variable. In the medium term, it also uses temperature and economic indicators such as economic growth (GDP) and industrial activity (IPI).
With the BOE model the profiling calculations are carried out as indicated in the BOE.
