Research on Artificial Intelligence to Help the Digital Transformation of Power Grid Companies
- DOI
- 10.2991/978-94-6463-676-5_70How to use a DOI?
- Keywords
- Artificial intelligence; Digital transformation; Power grid
- Abstract
With the rapid development of information technology, artificial intelligence (AI) has become an important force to promote the digital transformation of all walks of life. In the power industry, the application of artificial intelligence technology not only improves the efficiency of grid operation, but also enhances the intelligence and reliability of the power grid. As an important power infrastructure, the digital transformation of power grids is of great significance to improve energy supply efficiency, optimize resource allocation, and ensure energy security. The purpose of this paper is to summarize the research on the digital transformation of power grids assisted by artificial intelligence in recent years, analyze its research methods, theoretical framework, experimental design and data analysis, and summarize the main trends and progress in this field.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Fengxi Gao PY - 2025 DA - 2025/04/15 TI - Research on Artificial Intelligence to Help the Digital Transformation of Power Grid Companies BT - Proceedings of the 2024 6th Management Science Informatization and Economic Innovation Development Conference (MSIEID 2024) PB - Atlantis Press SP - 726 EP - 735 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-676-5_70 DO - 10.2991/978-94-6463-676-5_70 ID - Gao2025 ER -