AIOTI Webinar: Presentation of the Edge driven Digital Twins in distributed energy systems

AIOTI presented on 19 March at the webinar,  the paper Edge driven Digital Twins in distributed energy systems: Role and opportunities for hybrid data driven solutions.

The full document can be found here.

The paper explores the intersection of Digital Twins and Edge Computing within the context smart grids in the electricity sector in the EU. The goal is to specifically focus on medium and low voltage networks environments. The use cases’ primary objectives are to enhance visibility for more advanced grid monitoring and management, with a particular emphasis on integrating the grid edge through digital twins. This integration allows for real-time monitoring, enabling advanced grid management methods and creating opportunities for active consumer participation while increasing grids´ capacity.

The paper outlines both challenges and opportunities associated with edge computing and Digital Twins in the distributed energy sector. Challenges include the technical maturity of digital twin technology, lack of plug and play deployment tools, and a shortage of digital skills in the energy sector. Regulatory issues, data privacy, and security concerns are also identified, which requiring innovative policies and regulatory experimentation. On the other hand, opportunities for future growth lie in scalability.

The opportunities for future growth in AI and Digital Twins within the distributed energy systems are detailed, emphasising scalability, federated Digital Twins models, linkage to the European Data Space, and the need for determining useful data for collection.

The presentation can be found here and webinar recording here.