The solution includes advanced algorithms for mid term hourly forecasting.
- AleaMid obtains mid term hourly demand forecasts, up to three years ahead (26,280 hours)
- The solution is installed customised to your needs.
- AleaMid develops different kind of demand forecasts: national, regional, by kind of consumer (domestic, industrial) etc...
- Data can be aggregated or disaggregated.
- Explanatory variables included in the models are related to: calendar, weather conditions, temperature thresholds and socio-economic evolution.
- Once forecasting models have been developed by AleaSoft specialists and included in AleaMid, the solution works automatically.
- The solution is automatically updated with demand and weather data.
- An adaptive scheme updates the model parameters on a ongoing basis, so a user without statistical knowledge can operate the solution.
- AleaMid includes functionalities to analyse forecast variability, useful for decision making:
- Temperature and socioeconomic scenarios.
- Confidence interval information, that give information about complementary forecasts to consider in the decision making.
- 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.