Research on Applying Large Language Models for Software Updates in Power Communication Networks
The widespread use of various software in power communication networks introduces more and more challenges, particularly in ensuring the security and stability of software updates. Large language models (LLMs) with their excellent capabilities in natural language processing and understanding complex systems offer a new solution. This paper examines basic workflow of software updates in power communication networks and discusses the application of LLMs to facilitate the software updates process. This applying of LLMs can provide a more efficient and insightful approach to manage the complexities and risks of software updates in power communication networks.
Authors
- Jianing Niu (ORCID: https://orcid.org/0000-0001-7397-6619)
- Xiaoyu Yuan (ORCID: https://orcid.org/0009-0007-4885-9294)
- Ziyan Zhao (ORCID: https://orcid.org/0000-0002-2728-669X)
- Ning Zhang (ORCID: https://orcid.org/0000-0003-0036-742X)
- Longchuan Yan (ORCID: https://orcid.org/0000-0003-4324-1632)
- Song Gui-Lin
- Yongyuan He
Institutions
- State Grid Corporation of China (China) (CN)
- Shenwu Technology Group Corp (China) (CN)
Publication Details
- Published
- 2024-12-06
- DOI
- https://doi.org/10.1109/iciba62489.2024.10867881
- Primary Topic
- Service-Oriented Architecture and Web Services
- Type
- article
- Field-Weighted Citation Impact
- 0.00