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A Model for Assessing Industrial Development Dynamics Considering Economic-Power Synergies

  • Hao Wu,
  • Junzhi Chen,
  • Jiawei Gong,
  • Xiaoping Kang,
  • Xueting Zhang,
  • Wei Wang,
  • Tongyu Wu,
  • Xing Chen

摘要

The power industry is the basic energy industry of the national economy, and there is a huge economic and social value in the power big data. Based on the correlation between electric power data and economic data, predicting the future economic development trend is an important topic that needs to be studied urgently. Therefore, this paper firstly puts forward the key industry power economic correlation analysis model, and mines the correlation relationship between the power data and production data of each industry; secondly, it puts forward the power demand prediction method based on ARIMA model, and predicts the future power demand of the industry or the industry; lastly, it analyzes the arithmetic examples based on the development of Jiangxi Province, and makes a judgment on the future economic development trend of Jiangxi Province.