Dynamic analysis of the coupling relationship between regional energy economy and environment based on big data

Abstract

In today’s society, simple economic analysis often fails to meet demand, and it is difficult to analyze the overall macroeconomics for a single economic situation. The energy, economy and environment (3E) model has become the research object of many people. This paper aims to dynamically analyze the coupling relationship of 3E models between regions based on big data. A 3E model based on regions is proposed, and the model is established by selecting the most representative indicators between regions, and the degree of coupling is divided by the coupling theorem. After the model is established, the big data model is dynamically analyzed based on the artificial neural network, and the economic model between regions is predicted. The experimental results show that the 3E model in this paper is very representative, and the coupling degree of the three in the model can reach up to 0.996. And the prediction error based on artificial neural network is also 0.12%.

Keywords

• Big data
• Energy economy and environment
• Dynamic analysis
• Coupling relationship