ane.energy: Finding the optimal path into the day-ahead and intraday markets

Bringing renewable energy to market requires more precision and flexibility than just selling electricity. For ane.energy, a German renewable energy aggregator operating a Virtual Power Plant (VPP) and trading across short-term power markets, that complexity plays out every hour.

With a portfolio of around 2,500 MW of wind and solar capacity, the team manages positions across day-ahead and intraday markets. To support this, ane.energy partnered with Dexter Energy for wind and solar power forecasting.

The challenge of moving targets

In short-term power trading, forecast errors directly impact trading outcomes. Positions taken in the day-ahead market often need to be adjusted intraday, sometimes within tight time windows. Without accurate and timely updates, traders risk reacting too late or on incomplete information.

This is especially the case for solar and wind assets, where short-term weather changes – such as cloud movements or local deviations – can quickly shift production away from earlier expectations.

Combining multiple forecasting inputs

To manage this uncertainty, the trading team at ane.energy works with multiple data providers, each offering a different view on expected production.

Dexter Energy is one of those partners. Our wind and solar power forecasts are built on an ensemble of 10+ numerical weather prediction models, continuously retrained on real production data using machine learning. This setup captures both large-scale weather patterns and local deviations that matter for trading decisions.

The value of near-time updates

For the trading desk at ane.energy, the value of a power forecast lies in both accuracy and timing. To support intraday decision-making, the team uses our near-time feature, which integrates live asset data into the forecasting process.

As Stephan Späth, Meteorologist, explains:

“We especially value Dexter’s near-time updates, which we use for our trading strategies and algorithms and which allow us to adjust positions as conditions evolve.”

For assets without live SCADA data, nowcasting-based approaches can provide additional short-term signals.

The outcome: Acting with precision

With more reliable and timely forecasts that reflect current conditions, ane.energy can act with greater precision across short-term markets. We’re glad to support the ane.energy trading team in making the optimal decision on the day-ahead and intraday markets.