Take a deep dive into data science and energy markets, accessing our years of research and practice.
From day-ahead auctions to intraday liquidity
What will you find inside?
This white paper breaks down how the Single Day-Ahead Coupling (SDAC) and the Single Intraday Coupling (SIDC) work in practice, and what the shift to 15-minute trading intervals means for your positions. It covers:
How prices are formed and cleared across borders, what happens when the system fails;
The mechanics of continuous intraday trading through XBID, and why cross-border liquidity has roughly doubled since 2022;
The practical impact of the 15-minute MTU transition on capture rates, balancing costs, and subsidy schemes.
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Probabilistic forecasting for short-term power trading
What will you find inside?
This white paper presents a practical framework for designing, evaluating, and deploying probabilistic forecasting models. Download it to explore:
Why probabilistic forecasts improve decision-making compared to point estimates;
How to generate and evaluate forecasts using quantile regression, conformal prediction, CRPS, and quantile loss;
What pitfalls to avoid when moving models from backtest to production.
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Short-term power trading as an independent power producer
What will you find inside?
Many independent power producers are considering a more active role in short-term markets, particularly as long-term power purchase agreements (PPAs) become less attractive. This new white paper is a guide to help them get started. It covers:
Short-term power markets basics and trends impacting revenue models;
The step-by-step tech setup for two key trading capabilities: power forecasting and curtailment;
How to use asset flexibility strategically, and what success looks like.
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How to evaluate power generation forecasts for optimal decisions
What will you find inside?
A nuanced approach to assessing metering-point power generation forecasts, covering everything from a forecast's objective to summary statistics and the relationship with balancing costs, with best practices and numerical examples.
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