The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Sep. 26, 2023
Filed:
Jun. 23, 2021
Xi'an Jiaotong University, Shaanxi, CN;
State Grid Jiangsu Electric Power Co. Ltd, Jiangsu, CN;
Hohai University, Nanjing, CN;
Gengfeng Li, Shaanxi, CN;
Yuxiong Huang, Shaanxi, CN;
Liyin Zhang, Shaanxi, CN;
Jiangfeng Jiang, Shaanxi, CN;
Qirui Qiu, Shaanxi, CN;
Shihai Yang, Jiangsu, CN;
Xingying Chen, Nanjing, CN;
Xiaodong Cao, Jiangsu, CN;
Kun Yu, Nanjing, CN;
XI'AN JIAOTONG UNIVERSITY, Xi'an, CN;
State Grid Jiangsu Electric Power Co. Ltd, Nanjing, CN;
Hohai University, Nanjing, CN;
Abstract
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×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.