Guiyang, China

Zhaoting Ren

This inventor holds 2 USPTO granted patents and 5 published patent applications and 1 EPO patent. Top assignee: Guizhou Power Grid Company Limited. Active years: 2024-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Zhaoting Ren. Retrieved from https://idiyas.com/inventor/zhaoting-ren

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 2 

% Patents Active = 100.0

 

Average Co-Inventor Count = 21.6

ph-index = 1


Company Filing History:


Years Active: 2024-2025

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2 patents (USPTO):Explore Patents

Title: Zhaoting Ren: Innovator in Electrical Engineering

Introduction

Zhaoting Ren is a prominent inventor based in Guiyang, China. He has made significant contributions to the field of electrical engineering, particularly in non-invasive load identification and electric vehicle charging state analysis. With a total of 2 patents, his work is paving the way for advancements in energy efficiency and smart technology.

Latest Patents

Zhaoting Ren's latest patents include a non-invasive load identification method based on fingerprint characteristics of load power. This innovative method involves collecting Power Fingerprint characteristic data from various loads, preprocessing this data, and utilizing a convolution neural network with an attention mechanism to learn load characteristics. The method employs a sliding time window algorithm to detect load switching events, effectively converting the non-intrusive load identification problem into a single load identification challenge. This approach addresses the practical issues of load identification in complex environments.

Another notable patent is the charging state analysis method for electric vehicles based on electrical characteristic sequence analysis. This method outlines a systematic approach to analyze the charging state of electric vehicles by obtaining voltage and current sampling data during charging. It involves dividing the data into multiple sets, calculating electrical characteristic vectors, and generating an electrical characteristic sequence for the entire charging cycle. The results are then input into a trained TRNN to determine the normal or abnormal state of the charging process.

Career Highlights

Zhaoting Ren is currently employed at Guizhou Power Grid Company Limited, where he applies his expertise in electrical engineering to develop innovative solutions for energy management. His work is instrumental in enhancing the efficiency and reliability of power systems.

Collaborations

Zhaoting has collaborated with notable colleagues, including Zhukui Tan and Bin Liu, contributing to various projects that aim to advance technology in the energy sector.

Conclusion

Zhaoting Ren's contributions to electrical engineering through his patents and work at Guizhou Power Grid Company Limited highlight his role as an innovator in the field. His advancements in non-invasive load identification and electric vehicle charging analysis are significant steps toward a more efficient energy future.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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