Clustering of Power Consumption Patterns Based on PK-Means Algorithm

Clustering of power consumption patterns is an important basis for power grid demand side management, load forecasting, and power system planning, and is of great significance to the analysis, operation, and planning of power systems. Aiming at the problem that the traditional K-Means al-gorithm does not effectively use time series features when clustering electricity consumption patterns, an improved time series clustering algorithm PK-Means based on the K-Means algorithm is proposed, and based on the SSE evaluation index an improvement was made, and an evaluation index cumulative similarity (CS) for time series clustering algorithm was proposed. Through the