Maturity Classification Evaluation Model of Full-Business Core Teams in Power Grid Under Digital Intelligence Empowerment——Empirical Research Based on Multi-Expert Scoring

Weixuan Meng; Yang Yang; Jiaxu Cheng; Xuesong Wang; Dichao Ying

doi:10.2991/978-94-6239-787-3_56

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Maturity Classification Evaluation Model of Full-Business Core Teams in Power Grid Under Digital Intelligence Empowerment——Empirical Research Based on Multi-Expert Scoring

Authors

Weixuan Meng¹^{, *}, Yang Yang², Jiaxu Cheng¹, Xuesong Wang¹, Dichao Ying¹

¹State Grid Energy Research Institute CO., LTD., Beijing, China

²State Grid Hebei Service Center, Shijiazhuang, Hebei, China

^*Corresponding author. Email: weixuanmeng87@126.com.cn

Corresponding Author

Weixuan Meng

Available Online 29 September 2026.

DOI: 10.2991/978-94-6239-787-3_56 How to use a DOI?
Keywords: Digital Intelligence Empowerment; Power Grid Core Team; Maturity Evaluation; Delphi Method; Combined Weighting; Improved TOPSIS
Abstract: Digital intelligence is reshaping the operation of power grid core teams amid new power system construction. Targeting problems like incomplete evaluation dimensions and strong subjectivity in current maturity assessment, this paper constructs a comprehensive evaluation system. This study adopts two-round Delphi method for indicator screening, combines AHP and entropy weight for combined weighting, and applies improved TOPSIS to realize maturity grading. Empirical analysis on eight typical teams reveals distinct maturity gaps driven by safety and organizational constraints. Relevant optimization suggestions are put forward to support hierarchical management of power grid teams.
Copyright: © 2026 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 2026 4th International Conference on Management Innovation and Economy Development (MIED 2026)
Series: Advances in Economics, Business and Management Research
Publication Date: 29 September 2026
ISBN: 978-94-6239-787-3
ISSN: 2352-5428
DOI: 10.2991/978-94-6239-787-3_56 How to use a DOI?
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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ris enw bib

TY  - CONF
AU  - Weixuan Meng
AU  - Yang Yang
AU  - Jiaxu Cheng
AU  - Xuesong Wang
AU  - Dichao Ying
PY  - 2026
DA  - 2026/09/29
TI  - Maturity Classification Evaluation Model of Full-Business Core Teams in Power Grid Under Digital Intelligence Empowerment——Empirical Research Based on Multi-Expert Scoring
BT  - Proceedings of the 2026 4th International Conference on Management Innovation and Economy Development (MIED 2026)
PB  - Atlantis Press
SP  - 567
EP  - 573
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-787-3_56
DO  - 10.2991/978-94-6239-787-3_56
ID  - Meng2026
ER  -

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