Application of the MOD-STL-Louvain Method for Community Detection in Manufacturing Industries: A Study on Electricity Consumption

Electricity consumption data captures the usage patterns across various regions, industries, and enterprises, acting as a crucial indicator of economic activity and growth potential. Therefore, analyzing electricity consumption data is essential for understanding economic development. This paper introduces a novel method, MOD-STL-Louvain, for exploring the clustering patterns of enterprises based on their electricity consumption data. The method combines STL decomposition, complex networks, and the Louvain community detection algorithm to classify enterprises into different communities according to their electricity consumption trends. The method was applied to the electricity consumption data of several industries in a province in Eastern China, and the results showed that it can effectively classify enterprises into different communities, which can be characterized by different electricity consumption trends. This research provides a new perspective for understanding the development status of enterprises in their industries and offers a valuable reference for economic work.