Methods for Mining the Electricity Consumption Mode of Industrial Users Based on Affinity Propagation Clustering-K-Means Clustering
This paper proposes a method of mining the electricity consumption mode of industrial users based on af-finity propagation clustering-K-means clustering to give full play to the adjustable potential of user loads.Firstly,it compares the advantages and disadvantages of k-means clustering and affinity propagation clustering-K-means clustering.In the selection of industrial users,it selects the industrial user load data with the best clustering number of 3 as the analyed object for clustering,clusters the user load data with the help of the MATLAB tool,and obtains the three groups of required cluster centers,which are then drawn into curves for observation and the subsequent extraction of characteristic indicators.
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