Explore our library of blogs and updates for the latest in AI and short-term power trading.
High-wind shutdowns – automatic turbine stops triggered by extreme wind speeds – are a high-risk moment in short-term power trading. When forecasts fail to anticipate them, imbalance volumes can spike precisely during volatile price periods.
Clouds can significantly and suddenly reduce solar power output. Solar Nowcasting enables traders to anticipate deviations across all assets, including those without near-time data, and adjust positions in advance.
Behind every gust of wind is an interplay of forces, atmospheric layers, and parameterized physics. By understanding which dynamics dominate at each level, we turn physics into accurate, turbine-level power forecasts.
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.
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?
Weather data is high volume, and storage has many limitations. Imagine going from a spreadsheet to a sophisticated 3D model where each layer holds information about specific meteorological variables.
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.