Patents by Inventor Qirui QIU

Qirui QIU has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Method of power user classification based on distributed K-means, storage medium and classification device
    Patent number: 11768858
    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.
    Type: Grant
    Filed: June 23, 2021
    Date of Patent: September 26, 2023
    Assignees: XI'AN JIAOTONG UNIVERSITY, State Grid Jiangsu Electric Power Co. Ltd, Hohai University
    Inventors: Gengfeng Li, Yuxiong Huang, Liyin Zhang, Jiangfeng Jiang, Qirui Qiu, Shihai Yang, Xingying Chen, Xiaodong Cao, Kun Yu
  • METHOD OF POWER USER CLASSIFICATION BASED ON DISTRIBUTED K-MEANS, STORAGE MEDIUM AND CLASSIFICATION DEVICE
    Publication number: 20210406284
    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.
    Type: Application
    Filed: June 23, 2021
    Publication date: December 30, 2021
    Inventors: Gengfeng LI, Yuxiong HUANG, Liyin ZHANG, Jiangfeng JIANG, Qirui QIU, Shihai YANG, Xingying CHEN, Xiaodong CAO, Kun YU