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

2024 in review: The events that shaped short-term power markets

Whilst the peak of the energy crisis is behind us (for now), 2024 was anything but ordinary. We reflect on the year’s most widely debated and consequential short-term power market moments and prepare for what’s ahead in 2025.

TIDE in Italy: Dispatching and balancing reform explained by short-term power traders

Starting January 1st, 2025, Italy’s regulatory authority will roll out a major dispatching and balancing reform: TIDE. A key change is the shift to 15-minute imbalance prices.

Belgium joins PICASSO: Expected impact on imbalance prices

Belgium will join the European cross-border balancing platform PICASSO. This step aligns Belgium with the EU’s broader efforts to harmonize balancing markets, enhancing the coordination of aFRR activations across borders.

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.

Go-live of PICASSO in the Netherlands: What is the impact on imbalance prices?

In just a few days, Dutch Transmission System Operator (TSO) TenneT will join the European cross-border balancing platform PICASSO, making the Netherlands the first country to go live after Italy suspended its participation.

Dexter Energy on Dutch Ministry of Economic Affairs series ‘AI in Real Life’

Dexter Energy is one of the three companies selected by the Dutch Ministry of Economic Affairs to showcase the positive impact of AI on society. Hubert Penn explains how we use machine learning to make accurate power and price forecasts from large volumes of data.

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.

Dexter’s forecasting and trading signals now integrated with PowerBot’s execution algorithm

Our power generation forecasts and automated bidding strategies can now seamlessly integrate with PowerBot’s execution algorithms. PowerBot’s customers can leverage AI-driven renewable forecasts without any additional effort.

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