Research on generative artificial intelligence technology scheme of shore-based power digital twin in scenario with incomplete information
Based on the construction of the digital twin of the power system of the shore-based center of a large ocean vehicle, the dynamic data-driven application system of "information symbiosis" as the framework, and the generative adversarial network as the basis, this paper carries out the research on a new paradigm of high-quality data generation, with transfer learning as the core, combined with the generative artificial intelligence algorithm and the modeling method of "implicit model", carries out modeling and anomaly perception research, and takes into account the scheme design of mechanism, data and function realization, and the application scenario is future-oriented, with both theoretical and practical significance.
Authors
- Qi Xiao (ORCID: https://orcid.org/0000-0002-2510-3036)
- Zhao‐Xu Chen (ORCID: https://orcid.org/0000-0002-5444-776X)
- Junrong Wang (ORCID: https://orcid.org/0000-0002-0409-568X)
- Ziping Liu (ORCID: https://orcid.org/0000-0001-8107-6522)
- Jinlan Gou
Institutions
- Wuhan Ship Development & Design Institute (CN)
Publication Details
- Journal
- IET conference proceedings.
- Published
- 2024-09-17
- DOI
- https://doi.org/10.1049/icp.2024.2698
- Primary Topic
- Advanced Data Processing Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00