Promotion of long-term energy price forecasting reports for Europe
We are running a special promotion of long-term energy price forecasting reports for the European electricity markets.
Who is it aimed at?
- Utilities
- Traders
- Electricity retailers
- Large consumers and energy-intensive industries
- Renewable energy and energy storage developers
- Investment funds and banks
Possible uses of long-term price curve forecasting reports
- Financing of renewable energy projects
- Risk management and hedging
- Negotiation and closure of PPAs
- Portfolio valuation and audits
- Long-term energy trading
Key features of AleaSoft long-term price curve forecasting reports
- 30-year horizon
- Hourly breakdown
- Confidence bands P15 and P85
- Prices driven by wind and solar
- Annual scenarios of the main explanatory variables: demand, renewable energies, nuclear capacity closure or new capacity scenarios, fuels, CO₂ emission rights, etc.
- Outlook for increased international interconnection capacity
- Outlook for increased number of electric vehicles and installed capacity of batteries, hydrogen, self-consumption, etc.
Available markets
- All European markets
Frequency
- On demand
- Annual delivery
- Semi-annual delivery
- Quarterly delivery
General characteristics
- Over 27 years working for the leading companies in the energy sector
- Science-based forecasts
- Consistency and quality of results
- Over 800 models in operation
Request information
Promotion of long-term energy price forecasting reports for Europe
We are running a special promotion on long-term price curve forecasting reports for European electricity markets.
Who is it aimed at?
- Utilities
- Traders
- Energy retailers
- Large consumers and energy-intensive industries
- Renewable energy developers
- Investment funds and banks
Possible uses of long-term energy price forecasting reports
- Financing of renewable energy projects
- Risk management and hedging
- Negotiation and closure of PPAs
- Portfolio valuation and audits
- Long-term energy trading
Key characteristics of AleaSoft's long-term price curve forecasting reports
- 30-year horizon
- Hourly breakdown
- Confidence bands P15 and P85
- Prices captured by wind and solar
- Annual scenarios of the main explanatory variables: demand, renewable energy, closure or new nuclear capacity scenarios, fuels, CO2 emission rights, etc.
- Outlook for increased international interconnection capacity
- Outlook for increased number of electric vehicles and installed capacity of batteries, hydrogen, self-consumption, etc.
Available markets
- All European markets
Frequency
- On demand
- Annual delivery
- Six-monthly delivery
- Quarterly delivery
General characteristics
- More than 27 years working with leading energy sector companies
- Scientifically-based forecasts
- Consistency and quality of results
- More than 700 models in operation
Request more information
Accompanied by experts in energy markets
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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
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.