Simulation and study of future scenarios
One of the fundamental challenges for future decision-making in energy markets is the variability of future scenarios. The applications and services that AleaSoft provides have associated forecasts of fundamental variables, as well as their variability, to calculate probabilities of future prices and related variables such as demand and renewable energy production. The outputs can be probability distribution charts, percentile tables or massive simulations of market price or associated variables.
AleaSoft’s tools and services allow obtaining all types of customised studies and analyses based on energy market data and forecasts.
A very interesting output that AleaSoft provides is the forecasting of thousands of price curves with mid-term horizons obtained through simulation that can serve as input to agent processes.
All forecasts are always carried out with updated data and the most recent scenarios.
- Probabilistic forecasts with confidence bands or probability distributions
- Price indications of monthly, quarterly and annual products in futures markets to identify opportunities to acquire energy at favourable prices
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Simulation and study of future scenarios
One of the fundamental challenges for future decision-making in energy markets is the variability of future scenarios. The applications and services that AleaSoft provides have associated forecasts of fundamental variables, as well as their variability, to calculate probabilities of future prices and related variables such as demand and renewable energy production. The outputs can be probability distribution charts, percentile tables or massive simulations of market price or associated variables.
AleaSoft’s tools and services allow obtaining all types of customised studies and analyses based on energy market data and forecasts.
A very interesting output that AleaSoft provides is the forecasting of thousands of price curves with mid-term horizons obtained through simulation that can serve as input to agent processes.
All forecasts are always carried out with updated data and the most recent scenarios.
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27 years of experience as forecasting leaders in the energy sector
We provide forecasts for all European markets
Hybrid forecasting model based on neural networks, regression and SARIMA model
Strategic consulting for the purchase and sale of energy and energy assets
27 years providing quality forecasts
November 2010 forecast of Spanish electricity market prices. The graph shows the accuracy of the forecasts and confidence bands. An important point to note is that price oscillates around the expected value. This characteristic will continue in the future, which is why the quality of the forecasts and associated probabilities is important.