Research on the Investment Decision Model of Power Grid Enterprises Based on Neural Network Method

Chaoyang Li; Guangchao Qian; Lei Shi; Yi Gao; Yongli Wang; Bo Yuan

doi:10.2991/978-94-6463-056-5_25

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Research on the Investment Decision Model of Power Grid Enterprises Based on Neural Network Method

Authors

Chaoyang Li¹, Guangchao Qian², Lei Shi¹, Yi Gao², Yongli Wang³, Bo Yuan³^{, *}

¹State Grid Tianjin Electric Power Company Tianjin, Tianjin, China

²State Grid Tianjin Electric Power Company Economic and Technical Research Institute Tianjin, Tianjin, China

³School of Economics and Management, North China Electric Power University, Changping District, Beijing, China

^*Corresponding author. Email: 120212206288@ncepu.edu.cn

Corresponding Author

Bo Yuan

Available Online 29 December 2022.

DOI: 10.2991/978-94-6463-056-5_25 How to use a DOI?
Keywords: Ower Grid Investment Decision; Project Evaluation; Rural Network Method
Abstract: In the context of "new infrastructure", in order to enable power grid enterprises to better make investment decisions, this paper proposes a model based on neural network method, which can effectively improve the economic, social and environmental protection benefits of power grid enterprises' investment and encourage power grid enterprises to invest. Based on the consideration of investment capital and output requirements, the grid investment decision model is solved by neural network method to greatly improves the accuracy of the results. The simulation analysis through calculation examples shows that the method can quickly and effectively give quantitative evaluation results for different strategic objectives.
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 2022 2nd International Conference on Management Science and Software Engineering (ICMSSE 2022)
Series: Atlantis Highlights in Computer Sciences
Publication Date: 29 December 2022
ISBN: 10.2991/978-94-6463-056-5_25
ISSN: 2589-4900
DOI: 10.2991/978-94-6463-056-5_25 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.

Cite this article

ris enw bib

TY  - CONF
AU  - Chaoyang Li
AU  - Guangchao Qian
AU  - Lei Shi
AU  - Yi Gao
AU  - Yongli Wang
AU  - Bo Yuan
PY  - 2022
DA  - 2022/12/29
TI  - Research on the Investment Decision Model of Power Grid Enterprises Based on Neural Network Method
BT  - Proceedings of the 2022 2nd International Conference on Management Science and Software Engineering (ICMSSE 2022)
PB  - Atlantis Press
SP  - 177
EP  - 184
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-056-5_25
DO  - 10.2991/978-94-6463-056-5_25
ID  - Li2022
ER  -

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