Analysis and forecasting of energy data and gdp based on pearson correlation analysis-random forest algorithm

HIGHLIGHTS

• What: By analysing the relationship between energy data and GDP in 52 regions, this paper finds that total electricity consumption has the greatest degree of influence on GDP among energy factors, followed by natural gas consumption, biomass consumption, hydroelectricity consumption, liquefied petroleum gas (LPG) consumption and geothermal energy consumption.
• Who: Jiahong He from the Business School, Shenzhen Technology University, Shenzhen, Guangdong, China have published the Article: Analysis and Forecasting of Energy Data and GDP Based on Pearson Correlation Analysis-Random Forest Algorithm, in the : Proceedings of the 3rd International Conference on Business and Policy Studies . . .
  

   

  

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