Analysis on the Evolution of Industrial Structure Based on Industrial Electricity Correlation Topology

With the promotion of the national carbon neutrality policy, GS's energy consumption structure and industrial structure have changed dramatically. Timely and reliable prediction of the changes of regional industrial structure plays an important role in regional development planning. Industrial electricity consumption characteristics are real-time and objective feedback of production and operation status. Therefore, analyzing the correlation law of industrial electricity can obtain the evolution trend of industrial structure. This paper excavates the socio-economic value of electricity data and establishes a set of analysis framework of regional industrial structure based on industrial electricity correlation topology. Firstly, based on centrality analysis, the regional industry center is obtained from the perspective of power consumption correlation. Secondly, the trends of development in different industries are obtained by curve clustering analysis. Finally, through the topological analysis of industrial electricity, it provides a power perspective to analyze the transformation and upgrading process of regional industrial structure in different periods. The analysis results of the electricity consumption of GS's industries from 2010 to 2020 show that with the promotion and implementation of the national policy and carbon neutrality policy, most industries in GS shows an overall upward trend, and the diversified and Clustered Development Characteristics of the manufacturing industry are obvious. At the same time, on one hand, the national economy is still highly dependent on traditional high energy consuming industries. On the other hand, the elimination of highly polluting industries has achieved remarkable results. The research conclusion can provide energy assistance for the government's precise governance.