The CRETE VALLEY project has released the first wave of data-driven applications and services supporting its System-of-Systems Digital Twin, marking a major milestone in the effort to build a smarter, autonomous energy system in Crete.
Developed by our project coordinator, ICCS, the Digital Twin integrates advanced AI, machine learning, and simulation technologies to monitor, forecast, and optimise local energy flows in real time. The platform is designed to support grid operators, energy suppliers, and individual consumers by improving operational efficiency, enabling flexible energy management, and promoting energy autonomy.
The CRETE VALLEY Renewable Energy Valley (REV) Lab provides a unique opportunity to demonstrate the transformative potential of such a platform in a real-world setting. The Digital Twin enhances situational awareness for grid operators through real-time monitoring, simulation, optimisation, and visualisation of energy flows and network conditions. It supports data-driven decision-making for energy community managers and enables coordination among stakeholders, including DSOs, TSOs, and RES operators. Additionally, it empowers energy consumers through user-facing applications that provide personalised insights, promote sustainable behaviour, and encourage active participation in local energy communities.
This first release will be followed by a second and third version of the Digital Twin and data-driven services & apps. These will be tested under real-life conditions in future project phases, which include system installation and comprehensive evaluation of performance and user engagement.
As energy systems become increasingly decentralised and complex, CRETE VALLEY’s Digital Twin offers a glimpse into the future of smart, interconnected, and sustainable energy management.
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To learn more about this, download the deliverable D4.1: CRETE VALLEY Digital Twin, data-driven services & apps (First wave).
