Research on Quantitative Methods and System Design of Impact Factors for Feasibility Study Review of Power Grid Digitalization Projects Based on Artificial Intelligence

DOI

10.2991/978-94-6463-916-2_23How to use a DOI?

Keywords

Quantification method of impact factors; Application of artificial intelligence; Digital transformation; Large Language Model (LLM)

Abstract

Currently, the WBS-based review system of State Grid Corporation plays an important role in the feasibility study review of projects. As a work breakdown structure, WBS can divide the entire project into smaller and more manageable parts, making it easier to assess the resources, costs, and time required for the project. Natural language understanding technology is used to analyze the text descriptions of project functions, identify key entities and actions, and then match them with predefined rule abstract models to determine the corresponding fixed impact factors.

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.

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TY  - CONF
AU  - Fengxi Gao
PY  - 2025
DA  - 2025/12/22
TI  - Research on Quantitative Methods and System Design of Impact Factors for Feasibility Study Review of Power Grid Digitalization Projects Based on Artificial Intelligence
BT  - Proceedings of the 2025 4th International Conference on Public Service, Economic Management and Sustainable Development (PESD 2025)
PB  - Atlantis Press
SP  - 190
EP  - 196
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-916-2_23
DO  - 10.2991/978-94-6463-916-2_23
ID  - Gao2025
ER  -