Research on Influencing Factors of Electricity Consumption in China Based on Grey Theory and Big Data Technology

Authors

  • Lei Xue
  • Yuming Zheng
  • Wei Gao
  • Jingyu Zhang
  • Haijiang Zhang
  • Chao Wang
  • Liang Tian
  • Shaochong Zhang

DOI:

https://doi.org/10.56028/aemr.7.1.464.2023

Keywords:

grey relational analysis; electricity consumption; factors influencing consumption; grey relative coefficient; big data technology.

Abstract

With the development and application of computer theory, electronic information technology, economics and other disciplines, more and more models are being used to discuss electricity consumption factors. Thesis based on actual data of China, this paper discusses the influence of economic growth, electricity price, urbanization level, industrial structure, science and technology investment level and opening degree on electric power consumption level of our country, and analyses the influence of grey correlation analysis method. To drive electricity consumption, the first is to optimize and upgrade the industrial structure, and the second is to further improve the level of urbanization. The research results of this paper have certain reference value for relevant managers and government departments to formulate policies.

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Published

2023-09-14