Proceedings of the 2025 4th International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2025)

Research on the Determination Technology of Power Grid Based on Multi-Factor Disturbance

Authors
Zhonghai Zheng1, Shaohong Lin1, Zhibin Wei2, Youyi Zheng2, Qian Liu2, *
1State Grid Fujian Electric Power Co., Ltd, Fuzhou, Fujian, 350003, China
2Marketing Service Center of Fujian Electric Power Co., Ltd., Fuzhou, Fujian, 350013, China
*Corresponding author. Email: 2621704811@qq.com
Corresponding Author
Qian Liu
Available Online 31 May 2025.
DOI
10.2991/978-94-6463-742-7_2How to use a DOI?
Keywords
multiple factors; electricity bill income; forecast; random forest
Abstract

Facing the national “double carbon” goal, the company and the new stage of development faces major historical task, the new power system construction will drive the emerging investment and market model change, the company management development lean control faces new pattern and new challenges, optimize the capital operation mechanism and security risk specification, speed up the number of money management upgrade and method innovation has distinct demand and urgency. This paper combined with the actual situation of the current fund management and the objective situation, electricity income forecast as the research object, in-depth analysis and mining electricity income influence factors, further fully combining the influence of different elements for electricity income analysis, using the random forest algorithm, realize the scientific forecast of electricity income, and combined with the actual data of a area, carried out the empirical analysis, verify the scientific and effectiveness of the model. Through the construction of prediction model, it can provide a starting point for the scientific management and control of funds, and provide strong support for the development strategy of the company, the implementation of lean management, improving quality and efficiency, and building a first-class fund management system.

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 4th International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2025)
Series
Advances in Intelligent Systems Research
Publication Date
31 May 2025
ISBN
978-94-6463-742-7
ISSN
1951-6851
DOI
10.2991/978-94-6463-742-7_2How 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

TY  - CONF
AU  - Zhonghai Zheng
AU  - Shaohong Lin
AU  - Zhibin Wei
AU  - Youyi Zheng
AU  - Qian Liu
PY  - 2025
DA  - 2025/05/31
TI  - Research on the Determination Technology of Power Grid Based on Multi-Factor Disturbance
BT  - Proceedings of the 2025 4th International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2025)
PB  - Atlantis Press
SP  - 4
EP  - 13
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-742-7_2
DO  - 10.2991/978-94-6463-742-7_2
ID  - Zheng2025
ER  -