Xi'an Jiaotong University

Hohai University

State Grid Jiangsu Electric Power Company

Midea Group Co., Ltd.

Foshan Shunde Midea Electrical Heating Appliances Manufacturing Co., Limited.

Yuxiong Huang

Shihai Yang

Xiaodong Cao

Kun Yu

Xingying Chen

Gengfeng Li

Jiangfeng Jiang

Liyin Zhang

Qirui Qiu

Jian Lai

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

Yuxiong Huang