Research on the Social Development of New Energy Vehicles based on XGBoost-SHAP and GA-biLSTM Models

Authors

  • Runqing Wang
  • Jincheng Zhang
  • Wenyan Shi
  • Xueying Li
  • Zhao Xue

DOI:

https://doi.org/10.62051/ijepes.v2n3.02

Keywords:

Delphi Method, XGBoost-SHAP, GA-biLSTM

Abstract

China deeply promotes the implementation of new energy gas vehicle national strategy, new energy automobile industry continues to develop healthily, and gradually become an important force to promote the transformation and upgrading of the global automobile industry. In order to understand the impact of various domestic factors on the development of new energy vehicles, this paper firstly adopts the Delphi method to establish the index system of new energy vehicle development, and establishes the XGBoost-SHAP evaluation model to explore the development of China's new energy vehicles; secondly, it adopts the GA-biLSTM prediction model to forecast the time sequence of the comprehensive development indexes of new energy vehicle industry. Finally, through the social impact analysis of new energy vehicles, a simulation model is established to explore the impact of new energy vehicles on the ecological environment.

References

[1] Zhang Yejia. Advantages and Worries of China's New Energy Vehicles: Current Situation and Suggestions for the Development of China's New Energy Vehicle Industry[J]. Intelligent Networked Vehicles, 2023,(05):64-67.

[2] Bai Wanrong; Wei Feng; Zheng Guangyuan; Wang Baohui. Research on TCN-BiLSTM based intrusion detection algorithm[J]. Computer Science,2023,50(S2):941-948.

[3] Xu Dan; Guo Dandan; Liu Jing; Zhang Yanwen; Meng Yuan; Zhang Boxiong; Deng Liting. Construction of evaluation index system for water conservancy scientific and technological achievements in Hebei Province based on Delphi method[J]. Hebei Water Conservancy,2023,(10):36-38+42.

[4] Xiao, H. P.; Wang, S. H.; Chen, L. L.; Fan, Y. C.; Wan, J. H.. An optimized network model for slope deformation prediction fusing GA and LSTM and its application[J/OL]. Geodesy and Geodynamics,1-8[2023-11-26]https://doi. org/10.14075/j.jgg.2023.08.152.

[5] Song Xiaoming; Qin Jiarui; Xing Yingchun; Zhou Xiaoyan. Research on the development of China's new energy vehicle industry chain under the background of "double carbon"[J]. Value Engineering,2023,42(22):166-168.

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Published

02-09-2024

Issue

Section

Articles

How to Cite

Wang, R., Zhang, J., Shi, W., Li, X., & Xue, Z. (2024). Research on the Social Development of New Energy Vehicles based on XGBoost-SHAP and GA-biLSTM Models. International Journal of Electric Power and Energy Studies, 2(3), 5-14. https://doi.org/10.62051/ijepes.v2n3.02