AleaSoft provides price forecasting for the Single Electricity Market-SEM (the Republic of Ireland and Northern Ireland).

AleaSoft provides forecasting of the electricity market prices for the Single Electricity Market-SEM (the Republic of Ireland and Northern Ireland) at a short, mid and long term.

Offered services:

  • Short, mid and long term forecasting
  • Installation of solutions in client offices
  •  Service of forecast delivery by email or FTP
  •  Service of market report delivery, weekly and monthly, by email
  •  Service of market data supply by email or FTP
Energy Price Forecasting

AleaPriceShort

The AleaPriceShort solution generates hourly forecasts for the electricity market prices of the Single Electricity Market-SEM (Day-ahead market, DAM), for the Republic of Ireland and Northern Ireland at the short term, with a 10 day horizon (from D+1 to D+10).

Republic of Ireland and Northern Ireland AleaPriceShort.

AleaPriceMid

The AleaPriceMid solution generates hourly forecasts for the electricity market prices of the Single Electricity Market-SEM (Day-ahead market, DAM), for the Republic of Ireland and Northern Ireland at the mid term, with a 3 year horizon.

Republic of Ireland and Northern Ireland AleaPriceMid.
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 electricity market prices of the Single Electricity Market-SEM (Day-ahead market, DAM), for the Republic of Ireland and Northern Ireland at the long term, with a horizon of up to 15 years. The AleaPriceLong solution is flexible, in order to adapt to the criteria of your requirements.

It includes the scenario 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.