This inventor holds 1 USPTO granted patent. Top assignees: China Electric Power Research Institute, State Grid Corporation of China. Active years: 2023.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2023
Title: Innovations of Xingqi Liu in Load Identification Technology
Introduction
Xingqi Liu is a notable inventor based in Beijing, China. He has made significant contributions to the field of load identification through his innovative patent. His work focuses on enhancing the efficiency of electricity usage by utilizing advanced technology.
Latest Patents
Xingqi Liu holds a patent for a "Cloud-end collaborative system and method for load identification." This system integrates a smart Internet of Things electricity meter module that matches extracted feature quantity data with a first load feature library. It determines load feature data corresponding to unmatched feature quantity data, which is then transmitted to a main station load identification module for optimal matching and identification.
Career Highlights
Throughout his career, Xingqi Liu has worked with prominent organizations such as the China Electric Power Research Institute and the State Grid Corporation of China. His experience in these institutions has allowed him to develop and refine his innovative ideas in load identification technology.
Collaborations
Xingqi Liu has collaborated with notable colleagues, including Enguo Zhu and Heping Zou. Their combined expertise has contributed to advancements in the field of electricity management and load identification.
Conclusion
Xingqi Liu's innovative work in load identification technology showcases his commitment to improving energy efficiency. His contributions are significant in the realm of smart technology and electricity management.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile