Time Sequence Data Analysis of power consumption behavior classification based on K-Mean Clustering Model

This paper analyzes the consumer's energy consumption model, that is, the time series data generated at four quarters per day. Analyze changes in the level of consumption in the daily granularity using random-based verification. The clustering technique is used to kaggle datasets into multiple clusters based on similar features and characteristics.