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

How solar is rewriting the playbook for power trading in Central and South-Eastern Europe

Between 2022 and 2025, CSEE added 20.5 GW of solar PV. This rapid deployment is widening day-ahead-to-imbalance spreads and driving intraday trading volumes across Romania, Hungary, Bulgaria and Greece. Analysis from ETCSEE 2026.

Cleaner data, sharper forecasts: Automation and human judgment in wind and solar power forecasting

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’.

High-wind shutdowns: When strong winds mean zero production

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.

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

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.

Wind meteorology for power forecasting

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.

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%.

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