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

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?

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.

Probabilistic price forecasts for short-term trade optimization

Trade strategies that incorporate probabilistic price forecasts offer a comprehensive view of uncertainty. This article reviews the advantages and qualities of probabilistic forecasts, then provides ways to apply conformal prediction.

Accurate wind power forecasts with a human-in-the-loop

While computers excel at processing large volumes of data at high speeds, humans bring a complementary, unparalleled depth of understanding and adaptability to the table: a simple definition of ‘human-in-the-loop’.

Introducing icing feature for enhanced Wind Power Forecast

We’ve launched an exciting enhancement for our Wind Power Generation Forecast: icing forecast, designed to bring our customers more accurate predictions, enabling them to significantly reduce balancing costs.

Interview: Dexter and the future of renewable energy

To meet the demands of the future, Dexter lends energy companies a helping hand. We do this by forecasting energy needs and the availability of energy through artificial intelligence (AI).

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