Promotion of the Alea Energy DataBase (AleaApp) online platform
We are running a special promotion on subscriptions to the Alea Energy DataBase (AleaApp) online platform, developed by AleaSoft to compile, visualise and analyse data related to the energy markets.
Who is it aimed at?
- Energy market data analysts
- Traders
- Utilities and generators
- Retailers
- Large consumers and electro-intensive companies
- Renewable energy and storage developers
- Investment funds and banks
- CEOs, CFOs and specialised journalists
Possible uses of Alea Energy DataBase
- Monitoring and analysis of the energy markets, their variables and main drivers
- Energy trading, risk management and hedging
- Cost assessment ahead of settlements
- Data for models, algorithms and databases
- Preparation of reports, analyses and presentations
Main features of Alea Energy DataBase
- Data organised into observatories of related time series
- Prices, demand, temperature, production by technology, fuels and futures
- Data updated several times a day
- Customisable visualisation by dates, granularity, moving averages and comparisons
- Configurable alerts, data download and API
- New data and observatories added continuously
Available markets and data
- Data from electricity markets worldwide
- Gas, Brent, coal, CO₂ emission allowances and currencies
- Electricity and gas futures
- Macroeconomic data
- New markets added continuously
Subscription options
- Quarterly, half-yearly or annual subscriptions
- Tailored plans according to users, observatories and data download
General features
- More than 27 years working for the leading companies in the energy sector
- Data used by more than 800 Alea models in operation
- Data reviewed continuously to guarantee its quality and reliability
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Promotion of the Alea Energy DataBase (AleaApp) online platform
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
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Accompanied by experts in energy markets
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27 años de experiencia como líderes de previsiones en el sector de la energía
Ofrecemos previsiones de todos los mercados europeos
Modelo híbrido de previsiones basado en redes neuronales, regresión y modelo SARIMA
Consultoría estratégica para la compra y venta de energía y activos energéticos
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.