Xi'an Jiaotong University

Hohai University

State Grid Jiangsu Electric Power Company

Liyin Zhang

Shihai Yang

Xiaodong Cao

Xingying Chen

Kun Yu

Yuxiong Huang

Gengfeng Li

Jiangfeng Jiang

Qirui Qiu

A method of a power user classification based on distributed K-means, a storage medium and a classification device are provided. The method includes: obtaining, by N load aggregators, power consumption data of power users managed by respective load aggregators; performing, by each load aggregator, a normalization operation on time series load data of the power users managed by the load aggregator; forming a N&#xd7;N dimensional adjacency matrix A; performing K-means clustering on normalized time series load data, to obtain the respective centroids and user groups characterized by the respective centroids; sharing, by the respective load aggregators, the centroids and the number of users under the respective centroids based on the adjacency matrix A, and obtaining consistent centroids by multiple load aggregators; after an overall iteration ends, obtaining, by the respective load aggregators, the consistent centroids consistent with the K-means centroid based on global data, to realize user classification.

Method of power user classification based on distributed K-means, storage medium and classification device

Growing community of inventors

Shaanxi, China

Liyin Zhang