Digital Twins for Energy Sovereignty: How Graph Databases and VR Training Compress Skill Transfer
Position paper proposing digital twins as instruments for energy sovereignty, combining graph database knowledge management with VR-based training to compress expertise transfer timelines. Examines how energy infrastructure digital twins can reduce dependency on foreign expertise while accelerating workforce development in renewable energy operations.
Authors
- Nicolas Waern (ORCID: https://orcid.org/0009-0001-4011-8201)
Institutions
- Association of British Orchestras (GB)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-04-21
- DOI
- https://doi.org/10.5281/zenodo.19683074
- Primary Topic
- Graph Theory and Algorithms
- Type
- article
- Field-Weighted Citation Impact
- 0.00