Proceedings of the 2023 2nd International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2023)

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Evaluation of Power Grid Enterprises’ Digital Projects Investment Effect Based on AHP-Entropy and SVM Method

Authors
Hao Wang1, Qiuzhe Ma1, Xinping Wu1, Jianhong Pan2, Jie Yu1, *, Xinyi Lan3
1State Grid Economic and Technology Research Institute Co., Ltd., Beijing, China
2State Grid Jilin Electric Power Co., Ltd., Changchun, Jilin, China
3School of Economics and Management, North China Electric Power University, Beijing, China
*Corresponding author. Email: gjyujie0528@163.com
Corresponding Author
Jie Yu
Available Online 28 August 2023.
DOI
10.2991/978-94-6463-222-4_27How to use a DOI?
Keywords
Enterprise Digitization; Portfolio Evaluation; Analytic Hierarchy Process; Support Vector Machine
Abstract

In order to accurately evaluate the digital project of power grid enterprises, and the characteristics of existing research, a new combined evaluation model organically combines hierarchical analysis, entropy, radar map and support vector machine. First combine the empowerment, then integrate the decision information, then form the expert decision model, and finally build the corresponding evaluation model. It verifies the rationality and feasibility of the proposed model, shows that digital projects have played an important role in the sustainable and healthy development of power grid enterprises, and provides a certain reference value for the investment decision-making of power grid digital projects.

Copyright
© 2023 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 2023 2nd International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2023)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
28 August 2023
ISBN
978-94-6463-222-4
ISSN
2589-4919
DOI
10.2991/978-94-6463-222-4_27How to use a DOI?
Copyright
© 2023 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  - Hao Wang
AU  - Qiuzhe Ma
AU  - Xinping Wu
AU  - Jianhong Pan
AU  - Jie Yu
AU  - Xinyi Lan
PY  - 2023
DA  - 2023/08/28
TI  - Evaluation of Power Grid Enterprises’ Digital Projects Investment Effect Based on AHP-Entropy and SVM Method
BT  - Proceedings of the 2023 2nd International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2023)
PB  - Atlantis Press
SP  - 265
EP  - 276
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-222-4_27
DO  - 10.2991/978-94-6463-222-4_27
ID  - Wang2023
ER  -