Power trading & Portfolio management 

Optimize transactions on power markets 

ABOUT

Optimize your trading strategy 

As an energy trader or aggregator, you have to anticipate electricity price evolution on spot power markets to optimize your bids accordingly. To minimize portfolio balancing costs, you must also minimize the difference between your bids and the actual production. Then you need to anticipate renewable assets' production on day-ahead and intraday time horizons.

By guaranteeing high solar and wind power prediction accuracy, our forecasting products help you to manage uncertainties and maximize your revenues. They allow you to access day-ahead and intraday forecasts of renewable energy production at the site, portfolio, TSO/DSO zone, market area, and country level. 

Data and forecasts available at the site, portfolio, TSO/DSO area, or country level

KEY BENEFITS

Why use wind and solar forecasting for power trading?

MAXIMIZE TRANSACTION REVENUES

By anticipating solar production on the intraday and day-ahead spot markets.

REDUCE COST OF IMBALANCE PENALTIES

By delivering accurate predictions of solar energy production and optimizing the monitoring of your portfolio. 

MANAGE THE RISKS

by using a multi-model approach, confidence intervals, and customized warnings to optimize the forecast uncertainty management.

CASE STUDY

Did you know that using accurate solar production forecasts can reduce imbalance penalties?

Check out our case study!

Power trading & portfolio management:
retailer of green electricity in Spain

Reduce imbalance costs through accurate forecasting

PRODUCTS AND SERVICES

How are forecasts generated?

Day ahead solar forecasting

Forecasts using numerical weather prediction models 

Based on numerical weather prediction models

Update frequency: 4 times per day

Relevant for microclimates

Day ahead solar forecasting
Day ahead solar forecasting

Forecasts and live data based on satellite imagery 

Based on satellite imagery

Update frequency: 4 times per hour

Accuracy improvement

Day ahead solar forecasting
Day ahead solar forecasting

Forecast contribution assessment study 

Anticipate the imbalance costs

Define the control strategy

Limit the risks

Day ahead solar forecasting

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