Shaanxi, China

Liyin Zhang

USPTO Granted Patents = 1 

Average Co-Inventor Count = 9.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2023

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1 patent (USPTO):Explore Patents

Title: Inventor Profile: Liyin Zhang

Introduction

Liyin Zhang, a prominent inventor based in Shaanxi, China, has made significant contributions in the field of power user classification. His work emphasizes innovative methodologies that leverage advanced data analytics for improved energy management.

Latest Patents

Liyin Zhang holds a patent titled "Method of Power User Classification Based on Distributed K-means, Storage Medium and Classification Device." This innovative method involves obtaining power consumption data from users, normalizing the data, and employing K-means clustering to classify users into distinct groups based on their power consumption patterns. The methodology is designed to enhance the efficiency of load aggregators by providing consistent centroids through collaborative data sharing among multiple aggregators, ultimately leading to more accurate user classifications.

Career Highlights

Liyin has worked with notable institutions, including Xi'an Jiaotong University and State Grid Jiangsu Electric Power Company. His experiences at these organizations have provided him with a solid foundation in both academic research and practical applications in the energy sector.

Collaborations

Throughout his career, Liyin Zhang has collaborated with other skilled professionals in the field, including Gengfeng Li and Yuxiong Huang. Their combined expertise has likely contributed to the advancement of innovative solutions in energy classification and management.

Conclusion

Liyin Zhang is an exceptional inventor whose contributions to power user classification are notable. His patent reflects a blend of innovation and practical application, enhancing the capabilities of energy management systems. As the energy sector continues to evolve, his work promises to play a vital role in shaping efficient energy usage frameworks.

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