Abstract
Traditional mining methods are easily influenced by typical factors such as nature, so the precision of data mining is not ideal. This paper presents a data mining method for energy consumption behavior of integrated energy system considering typical factors. The K-means algorithm is used to correct the damaged data and to mine and marginalize the partially disturbed data in the data. Therefore, the standardized processing method is used to quantify the data. After filtering, the characteristics of user's electricity consumption behavior can be accurately extracted. Experimental results show that the proposed method can effectively extract the accurate electricity consumption data, and the accuracy is higher than the traditional method.
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