We provide a wide range of long-term renewable energy forecasts to accompany your decisions during the energy transition.
The forecasts have yearly granularity and cover a horizon of up to 40 years. They are based on the Alea methodology that combines Artificial Intelligence, time series and statistical models and take into account the growth scenarios of the different technologies in the coming decades.
We do forecasts of production and captured price, both at national and park level.
The AleaGreen division of AleaSoft provides forecasts of production and price captured by wind energy in the long term, with up to 40 years of horizon and yearly granularity. These forecasts are available at national and wind farm level.
Wind energy forecasts are part of the family of renewable energy forecasts of AleaGreen and AleaSoft.
Wind energy production is one of the main variables influencing price variability, hence the importance of having forecasts done with a scientific and coherent methodology, backed by more than 25 years of experience.
The forecasts of price captured by wind energy help renewable energy developers, investors and banks to assess the profitability of projects, influencing investment and financing decisions.
In addition, the forecasts of production and price captured by wind energy enable power generators to plan and design their energy production and sales strategies to maximise their revenues.
The AleaGreen division of AleaSoft provides forecasts of production and price captured by solar photovoltaic energy in the long term, with up to 40 years of horizon and yearly granularity. These forecasts are available at national and photovoltaic farm level.
Solar photovoltaic energy forecasts are part of the family of renewable energy forecasts of AleaGreen and AleaSoft.
Most markets globally are turning to solar photovoltaic energy to decarbonise their electricity system, so solar photovoltaic energy production has a significant impact on electricity market prices, hence the importance of having reliable and coherent forecasts for this technology, carried out using a methodology that is backed by 25 years of experience.
The forecasts of price captured by solar photovoltaic energy help renewable energy developers, investors and banks to assess the profitability of projects, influencing investment and financing decisions.
In addition, the forecasts of production and price captured by solar photovoltaic energy allow power generators to plan and design their energy production and sales strategies to maximise their revenues.
The AleaGreen division of AleaSoft provides forecasts of production and price captured by solar thermoelectric energy in the long term, with up to 40 years of horizon and yearly granularity. These forecasts are available at national and plant level.
Solar thermoelectric energy forecasts are part of the family of renewable energy forecasts of AleaGreen and AleaSoft.
Solar thermoelectric energy is a clean source of power generation that can also store thermal energy to generate electricity even when the sun is not shining, providing a stable and reliable source of energy. Hence the importance of having solar thermoelectric energy production forecasts using a methodology that uses Artificial Intelligence, time series and statistical models.
The forecasts of price captured by solar thermoelectric energy help renewable energy developers, investors and banks to assess the profitability of projects, influencing investment and financing decisions.
In addition, the forecasts of production and price captured by solar thermoelectric energy allow power generators to plan and design their energy production and sales strategies to maximise their revenues.
The AleaGreen division of AleaSoft provides forecasts of production and price captured by hydroelectric energy in the long term, with up to 40 years of horizon and yearly granularity. These forecasts are available at national and plant level.
Hydroelectric energy forecasts are part of the family of renewable energy forecasts of AleaGreen and AleaSoft.
The availability of hydroelectric energy has a strong influence on electricity prices, so having hydroelectric energy production forecasts based on a scientific methodology helps to improve market price forecasts. In addition, these forecasts help to make strategic decisions such as long-term investment planning for the expansion and modernisation of hydroelectric power plants.
The forecasts of price captured by hydroelectric energy help renewable energy developers, investors and banks to assess the profitability of projects, influencing investment and financing decisions.
In addition, the forecasts of production and price captured by hydroelectric energy allow power generators to plan and design their energy production and sales strategies to maximise their revenues.
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