An Analysis Method of Electric-thermal Load Coupling Relationship of Park Based on Fusion Feature

Operation and optimization of integrated energy systems represented by industrial parks are an important research hotspot in recent years, and have produced a large number of research results. The integrated energy system represented by industrial parks is of great significance for improving load utilization efficiency and reducing industrial production costs. This paper first introduces a data fusion method. Based on this, the fusion data is classified by the clustering method, and the results are evaluated by combining relevant indicators. Finally, this paper uses the daily electricity load and daily heat load data of industrial parks in Jiangsu Province as an example to analyze the coupling relationship between electric heating loads. This method facilitates industrial parks to develop strategies to reduce energy costs and increase production efficiency.