Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023)

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Research on New Investment Demand Forecast of Power Grid Company After Investment Interface Extension

Authors
Keyao Lin1, Juhua Hong2, Linyao Zhang2, Zhenda Hu2, Lin Liu2, Xiaofeng Li3, *, Yangzi Chen3, *
1State Grid Fujian Electric Power Co. Ltd., Fujian, 350100, China
2State Grid Fujian Electric Power Economic and Technical Research Institute, Fujian, 350100, China
3Department of Management Science and Data Science, Business School, Sichuan University, Chengdu, 610065, China
*Corresponding author. Email: Lixiaofeng@scu.edu.cn
*Corresponding author. Email: 371171477@qq.com
Corresponding Authors
Xiaofeng Li, Yangzi Chen
Available Online 10 August 2023.
DOI
10.2991/978-94-6463-198-2_19How to use a DOI?
Keywords
Investment interface extension; new investment demand; grey relational method; support vector machine; GRA-SVM model
Abstract

By extending the investment interface, power grid companies increase investment in business expansion projects, which not only effectively improves market share and customer satisfaction, but also supports economic and social development. However, after the extension of the investment interface, the continuous expansion of the scale of new investment has brought unprecedented challenges to the power grid company. Therefore, it is particularly important to forecast the new investment demand after the extension of the investment interface of the power grid company. In this paper, the principle of support vector machine and grey correlation analysis method are introduced. On this basis, the GRA-SVM model of the new investment demand forecast after investment interface extension of the power grid company is established, and the process and basic steps of building the model are described in detail. Then, the influencing factor system of the new investment demand after investment interface extension of the power grid company is constructed. According to the actual data of the relevant factors of the ZY power grid company from 2011 to 2021, the new investment demand of the ZY power grid company is forecasted by adopting the GRA-SVM model, and the forecast results are analyzed. The research results show that the GRA-SVM model can not only select the important influencing factors independently, but also has good forecast ability, high forecast accuracy and reliable forecast results. This provides a new idea and a new solution for power grid companies to forecast new investment demand after the extension of investment interface.

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 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
10 August 2023
ISBN
10.2991/978-94-6463-198-2_19
ISSN
2589-4900
DOI
10.2991/978-94-6463-198-2_19How 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  - Keyao Lin
AU  - Juhua Hong
AU  - Linyao Zhang
AU  - Zhenda Hu
AU  - Lin Liu
AU  - Xiaofeng Li
AU  - Yangzi Chen
PY  - 2023
DA  - 2023/08/10
TI  - Research on New Investment Demand Forecast of Power Grid Company After Investment Interface Extension
BT  - Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023)
PB  - Atlantis Press
SP  - 165
EP  - 174
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-198-2_19
DO  - 10.2991/978-94-6463-198-2_19
ID  - Lin2023
ER  -