Overview of the Application of Natural Language Processing Technology in Distribution Network Operation
The application of natural language processing (NLP) technology in the operation of distribution networks can significantly improve the efficiency and accuracy of fault diagnosis and data analysis, and is helpful to achieve intelligent operation and maintenance. Therefore, this paper provides an overview of the current status, challenges, and future development trends of NLP technology in the operation of distribution networks. First, the importance and challenges faced by the operation of distribution networks are introduced, as well as the development background of NLP technology and its current application status in multiple fields. Second, the specific applications of NLP in distribution network operation are elaborated. Subsequently, the challenges encountered in applying NLP to distribution network operation are analyzed. Finally, in the conclusion, the future development of NLP in distribution network operation is discussed. This paper emphasizes that it is of great importance to apply NLP technology in improving the operational efficiency of distribution networks and ensuring the safety and stability of the power grid.
Authors
- Meng Ren
- Yanbin Li (ORCID: https://orcid.org/0000-0002-4142-7743)
- Jing Zhang (ORCID: https://orcid.org/0000-0003-3574-6438)
- Tonghe Wang (ORCID: https://orcid.org/0000-0002-8430-9755)
- Xiaobin Lan
- Defa Cao
Institutions
- Chinese Academy of Sciences (CN)
- Guangzhou Institute of Energy Conversion (CN)
- China Southern Power Grid (China) (CN)
Publication Details
- Published
- 2024-10-25
- DOI
- https://doi.org/10.1109/acfpe63443.2024.10800976
- Primary Topic
- Power Systems and Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00