The Digital Transformation of Power Grid under the Background of Artificial Intelligence


Li Liu, Zhiqi Li, Sujuan Deng, Yilei Zhao, Yuening Wang, Journal of Information Processing Systems Vol. 19, No. 3, pp. 302-309, Jun. 2023  

10.3745/JIPS.02.0194
Keywords: Artificial intelligence, Digital Transformation of Power Grid, Index System, Smart Grid
Fulltext:

Abstract

Artificial intelligence (AI) plays a crucial role in the intelligent development of China’s power system. It is also an important part of the digital development of the power grid. The development of AI determines whether the digital transformation of China’s power system can be successfully implemented. Therefore, this paper discusses the digital transformation of the power grid based on AI technologies. The author has established a digital evaluation index system to reflect the development of the power grid in one province. Both qualitative and quantitative methods have been adopted in the analysis, which delves into the economic effectiveness, quality, and coordination of power grid development in the province in a comprehensive way. Results show that, to meet the needs of the power grid’s digital transformation, the correlation coefficient between the power grid’s development and the province’s overall coordination has been increasing in recent years.


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Cite this article
[APA Style]
Liu, L., Li, Z., Deng, S., Zhao, Y., & Wang, Y. (2023). The Digital Transformation of Power Grid under the Background of Artificial Intelligence. Journal of Information Processing Systems, 19(3), 302-309. DOI: 10.3745/JIPS.02.0194.

[IEEE Style]
L. Liu, Z. Li, S. Deng, Y. Zhao, Y. Wang, "The Digital Transformation of Power Grid under the Background of Artificial Intelligence," Journal of Information Processing Systems, vol. 19, no. 3, pp. 302-309, 2023. DOI: 10.3745/JIPS.02.0194.

[ACM Style]
Li Liu, Zhiqi Li, Sujuan Deng, Yilei Zhao, and Yuening Wang. 2023. The Digital Transformation of Power Grid under the Background of Artificial Intelligence. Journal of Information Processing Systems, 19, 3, (2023), 302-309. DOI: 10.3745/JIPS.02.0194.