AleaPriceShort

The AleaPriceShort solution generates hourly forecasts for the price of energy for OPCOM (Day-ahead auction market, DAM) of  Romania, for the short term, with a 10 day horizon (from D+1 to D+10).

AleaPriceMid

The AleaPriceMid solution generates hourly forecasts for the price of energy for OPCOM (Day-ahead auction market, DAM), for Romania for the mid term, with a 3 year horizon.

It includes scenario tools for fuels (Oil, Gas, Coal) and other variables used in price forecasting (CO₂, exchange rates, demand, hydroelectric production, nuclear production, wind power production, etc) in order to obtain alternative price forecasting considering possible values of these variables.

AleaPriceLong

The AleaPriceLong solution generates monthly forecasts for the price of energy of OPCOM (Day-ahead auction market, DAM), for Romania for the long term, with a horizon of up to 10 years. The AleaPriceLong solution is flexible, in order to adapt to the criteria of your requirements.

It includes the scenarios tools for fuels (Brent, Gas, Coal) and other variables used in price forecasting (CO₂, exchange rates, demand, hydroelectric production, nuclear production, wind power production, etc) in order to obtain alternative price forecasting considering possible values of these variables.

AleaDemandShort

The AleaDemandShort solution generates hourly forecasts of the energy demand of Romania for the short term, with a 10 day horizon.

AleaDemandMid

The AleaDemandMid solution generates hourly forecasts of the energy demand of Romania for the mid term, with a 3 year horizon.

It includes functionalities to analyse forecast variability useful for the decision-making process, such as:

• Temperature and socioeconomic scenarios
• Confidence interval information, providing information about complementary forecasts, important to consider during decision-making

AleaDemandLong

AleaDemandLong solution generates monthly forecasts of the energy demand of Romania for the long term, with up to a 10 year horizon.

The AleaDemandLong solution includes functionalities to analyse a variety of variabilities useful for the decision-making process, such as:

• The possibility of selecting one of several models to generate a forecast, therefore obtaining different forecasts for the same variable.
• 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.