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Explore our library of blogs and updates for the latest in AI and short-term power trading.

Introducing Solar Nowcasting: Forecasting cloud movement for short-term power trading

Clouds can significantly and suddenly reduce solar power output. Solar Nowcasting comes enables traders to anticipate deviations across all assets, including those without near-time data, and adjust positions in advance.

Forecasting wind and solar for short-term power trading: Three shifts and ways to adapt

As volatility persists and imbalance price spreads widen, three market shifts are reshaping power forecasting requirements: traded volumes moving to intraday, increasing tail risk from rare weather events, and bias from poor data quality.

From sunlight to solar parks: The meteorology behind solar power

Explore the meteorology of solar radiation and its role in solar power forecasting – how energy from the Sun reaches the Earth, impacts solar panels, and is predicted using advanced weather models. Insights that keep our trading mindset grounded in atmospheric science.

Forecasting solar power production with machine learning: How it works and where it’s heading

AI is indispensable for predicting the production – and prices – of intermittent renewables like solar and wind. Discover how we build and deliver accurate AI solar power forecasts and explore future developments.

Now available: Solar Prosumption Forecast for commercial assets

The prosumption forecast – specifically tailored to commercial assets – is live in the Netherlands and built to scale across Europe. Initial results show balancing cost savings of up to 20%.

Icing on wind turbines: Causes, risks, and forecasts for short-term power traders

As temperatures drop, wind power production and electricity demand are on the rise, promising attractive revenues for wind power producers and short-term traders. But winter also comes with a critical challenge: turbine icing, which can quickly negate the season’s benefits.

The role of traditional and AI weather models in the future of renewable energy forecasting

A diverse array of weather models – from global deterministic systems to breakthrough AI ensembles – is now available. Which weather forecast is most reliable for forecasting the production of a particular wind or solar park?

Keeping machine learning models sharp: Data drift in time series forecasting

Model performance often takes center stage in machine learning. Yet behind every successful model is the data it relies on – a dynamic and evolving foundation that can make or break the accuracy of predictions.

Advances in forecasting: Highlights from the 44th International Symposium on Forecasting 

For many data scientists and analysts, the first week of July was long blocked in the calendar. The 44th International Symposium on Forecasting (ISF), the leading event for forecasting professionals, was held in Dijon.

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