Regional Energy Consumption Analysis And Model Research Under The Energy Internet Environment

With the rapid development of China's economy,the total economic volume is increasing,energy consumption is increasing day by day,and energy security and energy environment issues are becoming more and more prominent.Problems such as energy shortage,ecological damage,and greenhouse effect continue to urge us to explore new energy development paths and realize Sustainable energy development.Solving the energy problem needs to fundamentally understand the current situation of energy consumption,analyze the influencing factors affecting energy consumption,and predict the main types of energy consumption,in order to grasp the pulse of energy problems,analyze specific problems,and solve problems in a targeted manner.The arrival of the era of big data provides more effective research methods for energy consumption,collecting,integrating,processing and analyzing massive amounts of energy data,and extracting deeper data values.This paper analyzes and predicts energy consumption,builds a platform for sustainable energy development,and provides decision support for energy development.The specific work of this paper is summarized as follows:(1)Analyze the energy development status of the Beijing-Tianjin-Hebei region from the perspectives of energy consumption,energy consumption structure and energy utilization efficiency,and summarize the main influencing factors affecting energy consumption.At the same time,the energy development trends of clean substitution and electric energy replacement were analyzed.(2)Analyze the relationship between energy consumption and economic growth and environmental changes in Beijing-Tianjin-Hebei region.The data was modeled by vector autoregressive model,and the impact and contribution values of energy consumption,economic growth and environmental change were analyzed by impulse response and variance decomposition.(3)Forecasting the total energy consumption,the total amount of electricity consumption,and the major types of energy consumption,and based on this,proposed the decision support for energy Internet development.(4)Reconstruct the data storage in the 3EDSS platform by using big data technology,develop and implement the energy module under the 3EDSS platforn,complete the design of the overall framework and function modules of the platform,and visualize the display.