Proceedings of the 2024 3rd International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2024)

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Selection of Excellent Digital Demonstration Units Based on Entropy Weight TOPSIS Method

Authors
Yi Tian1, Jingyu Huang1, Jianbin Zhao2, Libin Wang2, Shaokang Zhao2, Shouliang Chai3, Chao Ma1, Pengfei Wang4, *, Yingzi Zhang4, *, Xun Jing4, *
1State Grid Hebei Information & Communication Branch, Hebei, China
2State Grid Hebei Electric Power Co., Ltd, Hebei, China
3State Grid Handan Electric Power Supply Company, Handan, China
4Beijing State Grid Xintong Accenture Information Technology Co., Ltd, Beijing, China
*Corresponding author. Email: wangpengfei@sgitg.sgcc.com.cn
*Corresponding author. Email: zhangyingzi@sgitg.sgcc.com.cn
*Corresponding author. Email: 435775944@qq.com
Corresponding Authors
Pengfei Wang, Yingzi Zhang, Xun Jing
Available Online 31 August 2024.
DOI
10.2991/978-94-6463-490-7_23How to use a DOI?
Keywords
Digital demonstration; Entropy Weight TOPSIS Method; Excellent unit
Abstract

In 2023, in order to accelerate the digital transformation of enterprises, A Provincial Power Company selected 12 units (3 city level units, 4 county-level units, and 5 power supply station level units) to carry out digital demonstration work. At the end of the year, 3 excellent units (1 each at the city and county level) were selected through the entropy weight TOPSIS method, forming a batch of digital transformation models.

Copyright
© 2024 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.

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Volume Title
Proceedings of the 2024 3rd International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2024)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
31 August 2024
ISBN
978-94-6463-490-7
ISSN
2589-4919
DOI
10.2991/978-94-6463-490-7_23How to use a DOI?
Copyright
© 2024 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

risenwbib
TY  - CONF
AU  - Yi Tian
AU  - Jingyu Huang
AU  - Jianbin Zhao
AU  - Libin Wang
AU  - Shaokang Zhao
AU  - Shouliang Chai
AU  - Chao Ma
AU  - Pengfei Wang
AU  - Yingzi Zhang
AU  - Xun Jing
PY  - 2024
DA  - 2024/08/31
TI  - Selection of Excellent Digital Demonstration Units Based on Entropy Weight TOPSIS Method
BT  - Proceedings of the 2024 3rd International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2024)
PB  - Atlantis Press
SP  - 209
EP  - 216
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-490-7_23
DO  - 10.2991/978-94-6463-490-7_23
ID  - Tian2024
ER  -