Edge driven Digital Twins in distributed energy systems: Role and opportunities for hybrid data driven solutions
dc.contributor.author | Pereira, Ana | en |
dc.contributor.author | Hovstø, Asbjørn | en |
dc.contributor.author | Rodrigues, Eva | en |
dc.contributor.author | Silvia, Fábio | en |
dc.contributor.author | Suciu, George | en |
dc.contributor.author | AL-Naday, Mays | en |
dc.contributor.author | Samovich, Natalie | en |
dc.contributor.author | Kalenskyy, Oleg | en |
dc.contributor.author | Cerny, Ondrej | en |
dc.contributor.author | Santiago, Rita | en |
dc.contributor.author | Schmitt, Laurent | en |
dc.contributor.author | Atmojo, Udayanto Dwi | en |
dc.contributor.editor | Samovich, Natalie | en |
dc.date.accessioned | 2024-07-01T10:56:29Z | |
dc.date.available | 2024-07-01T10:56:29Z | |
dc.date.issued | 2024-01-29 | en |
dc.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. | en |
dc.description.status | Peer reviewed | en |
dc.description.version | Published Version | en |
dc.format.mimetype | application/pdf | en |
dc.identifier.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/ | en |
dc.identifier.endpage | 39 | en |
dc.identifier.startpage | 1 | en |
dc.identifier.uri | https://hdl.handle.net/10468/16042 | |
dc.language.iso | en | en |
dc.publisher | Alliance for IoT and Edge Computing Innovation (AIOTI). | en |
dc.relation.ispartof | Edge driven Digital Twins in Distributed Energy Systems’, Alliance for IOT and Edge Computing Innovation (AIOTI) | en |
dc.relation.uri | https://aioti.eu/edge-driven-digital-twins-in-distributed-energy-systems-paper/ | en |
dc.rights | © AIOTI. All rights reserved. | en |
dc.subject | Internet of Things (IoT) | en |
dc.subject | Data generation | en |
dc.subject | Digital twins | en |
dc.subject | Edge computing | en |
dc.subject | Artificial intelligence (AI) | en |
dc.subject | Energy production | en |
dc.title | Edge driven Digital Twins in distributed energy systems: Role and opportunities for hybrid data driven solutions | en |
dc.type | Report | en |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- AIOTI-Edge-driven-Digital-Twins-in-distributed-energy-systems.pdf
- Size:
- 1.43 MB
- Format:
- Adobe Portable Document Format
- Description:
- Published version
License bundle
1 - 1 of 1
Loading...
- Name:
- license.txt
- Size:
- 2.71 KB
- Format:
- Item-specific license agreed upon to submission
- Description: