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