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With the new EU regulation (Regulation 2017/2196), the electricity market is preparing for a significant change: form 2025, imbalance settlement will shift to 15-minute intervals instead of hourly. This change will quadruple the frequency of daily adjustments, increasing both the volume and complexity of data processing.
We know your team is already working on a strategic response, and at SDG Group, our goal is to support you through this transition with solutions designed to make this adaptation smooth and efficient.
Turning Change into an Opportunity for Improvement
We're Here to Support You Every Step of the Way
This shift to a 15-minute settlement marks a milestone in Europe's energy transition, and we're here to be your partner throughout the process. We focus on ensuring a seamless, customized integration so you can maximize the potential benefits of this regulatory change.
We're committed to being part of your team during this pivotal moment for the energy sector, simplifying the process and maximizing your opportunities.
How Can We Help Your Team Meet This Challenge?
Enhancing Precision and Real-Time Agility
With 15-minute settlement intervals, accuracy is key to minimizing imbalances and avoiding additional costs. Our real-time analytics and advanced predictive models integrate seamlessly with your existing operations, enabling your team to respond with the agility and accuracy required by the new standard or those that may appear in the future.
Optimizing Data Processing
Managing this increase in data frequency requires a solid infrastructure. Our data processing and machine learning tools streamline data management and analysis, allowing your team to focus on strategic decisions without worrying about technical capacity.
Strengthening Risk and Predictive Models
We understand that market volatility can affect the accuracy and sometimes the scalability of traditional risk models. For that reason, we develop adaptive models that incorporate continuous learning from new market dynamics and are designed to scale efficiently with the increased frequency and volume of data. This helps mitigate risks and provides greater precision in demand and production forecasting, without the need to replace your existing tools.
Author: Silvia Albaladejo Bernal | Subject Matter Expert at SDG Group
