Edge driven Digital Twins in distributed energy systems: Role and opportunities for hybrid data driven solutions
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Date
2024-01-29
Authors
Pereira, Ana
Hovstø, Asbjørn
Rodrigues, Eva
Silvia, Fábio
Suciu, George
AL-Naday, Mays
Samovich, Natalie
Kalenskyy, Oleg
Cerny, Ondrej
Santiago, Rita
Journal Title
Journal ISSN
Volume Title
Publisher
Alliance for IoT and Edge Computing Innovation (AIOTI).
Published Version
Abstract
Description
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.
Keywords
Internet of Things (IoT) , Data generation , Digital twins , Edge computing , Artificial intelligence (AI) , Energy production
Citation
Pereira, A. et al., ‘Edge driven Digital Twins in Distributed Energy Systems’, Alliance for IOT and Edge Computing Innovation (AIOTI), Jan. 29, 2024. Accessed: July 01, 2024. Available: https://aioti.eu/edge-driven-digital-twins-in-distributed-energy-systems-paper/
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