Guiyang, China

Jipu Gao

This inventor holds 3 USPTO granted patents and 1 published patent application. Top assignee: Guizhou Power Grid Company Limited. Active years: 2024-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jipu Gao. Retrieved from https://idiyas.com/inventor/jipu-gao

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

Calculating rank
USPTO Granted Patents = 3 

% Patents Active = 100.0

Average Co-Inventor Count = 18.3

ph-index = 1


Company Filing History:


Years Active: 2024-2026

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3 patents (USPTO):Explore Patents

Title: Jipu Gao: Innovator in Load Identification and Electric Vehicle Charging Analysis

Introduction

Jipu Gao is a notable inventor based in Guiyang, China. He has made significant contributions to the fields of load identification and electric vehicle charging analysis. With a total of 3 patents, his work addresses practical challenges in energy management and efficiency.

Latest Patents

Jipu Gao'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 also 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 allows for the identification and separation of unique load Power Fingerprint features, addressing the complexities of non-intrusive load identification in real-world scenarios.

Another significant 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 normalcy of the charging state.

Career Highlights

Jipu Gao is currently employed at Guizhou Power Grid Company Limited, where he applies his expertise in energy management and innovative technologies. His work has been instrumental in advancing the understanding of load identification and electric vehicle charging processes.

Collaborations

Jipu Gao collaborates with notable colleagues, including Zhukui Tan and Bin Liu, who contribute to his research and development efforts.

Conclusion

Jipu Gao's innovative patents and contributions to load identification and electric vehicle charging analysis highlight his role as a significant figure in the field of energy management. His work continues to pave the way for advancements in non-intrusive load identification and efficient electric vehicle charging solutions.

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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