Proceedings of the 2025 5th International Conference on Public Management and Intelligent Society (PMIS 2025)

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Research on the Cost Prediction Technology of Substation Engineering Based on Genetic Algorithm-Support Vector Machine Algorithm

Authors
Anyuan Fu1, Ce Ji2, Deguang Zhang2, Hui He2, Xianchun Li2, *
1State Grid Anhui Economic Research Institute, Hefei, Anhui, 230022, China
2State Grid Anhui Electric Power Co., LTD, Hefei, Anhui, 230022, China
*Corresponding author. Email: juzen123@163.com
Corresponding Author
Xianchun Li
Available Online 28 May 2025.
DOI
10.2991/978-94-6463-744-1_7How to use a DOI?
Keywords
Cost prediction; Genetic algorithm; Support vector machine; Power grid engineering
Abstract

With the continuous improvement of the whole social electricity demand in China, the power grid construction projects are gradually increasing. Under the background of the gradual market-oriented reform of the project cost, the power grid engineering urgently needs to improve the information level of the cost management. Therefore, combined with the background of information technology, this paper deepens the research of cost prediction and control of power grid engineering, and puts forward the cost prediction technology of substation engineering based on genetic algorithm-support vector machine algorithm, which has a certain reference role in effectively ensuring the fine operation of project funds and guiding the scientific rationalization of power grid engineering investment.

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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Volume Title
Proceedings of the 2025 5th International Conference on Public Management and Intelligent Society (PMIS 2025)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
28 May 2025
ISBN
978-94-6463-744-1
ISSN
2589-4919
DOI
10.2991/978-94-6463-744-1_7How to use a DOI?
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.

Cite this article

risenwbib
TY  - CONF
AU  - Anyuan Fu
AU  - Ce Ji
AU  - Deguang Zhang
AU  - Hui He
AU  - Xianchun Li
PY  - 2025
DA  - 2025/05/28
TI  - Research on the Cost Prediction Technology of Substation Engineering Based on Genetic Algorithm-Support Vector Machine Algorithm
BT  - Proceedings of the 2025 5th International Conference on Public Management and Intelligent Society (PMIS 2025)
PB  - Atlantis Press
SP  - 55
EP  - 62
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-744-1_7
DO  - 10.2991/978-94-6463-744-1_7
ID  - Fu2025
ER  -