AleaPlan obtains long term monthly forecast, up to 15 years ahead.
The solution obtains different kind of forecasts:
Monthy demand.
Monthly maximum and minimum hour power.
Kind of demand: national, regional, by kind of consumer (domestic, industrial), peaks etc.
Explanatory variables considered in the modelling process are related to: sectorial tendency, socioeconomic indicators, climatology and seasonal nature.
The solution can be customised and adapted to your needs before the installation.
Once forecasting models have been developed by AleaSoft specialists and included in AleaPlan, the solution works automatically.
The solution is automatically updated with relevant data.
An adaptive scheme updates the model parameters on a ongoing basis, so a user without statistical knowledge can operate the solution.
AleaPlan includes functionalities to analyse the variability, useful for decision making:
Temperature and socioeconomic scenarios.
Confidence interval information, giving information about complementary forecasts to consider in the decision making.
Sensitivity analysis tools of the demand related to the temperature and economy evolution.
The solution provides useful information to the user:
Visualisation of data involved in the forecasting, for a better undestanding of the process.
A report function provides information on the results of forecasts.
To monitor the impact of temperature forecasts upon the demand forecast, the solution allows to carry out projections over previous dates, with real and forecasted temperatures.