Beijing, China

Ke Jia

This inventor holds 19 USPTO granted patents and 2 published patent applications and 1 EPO patent, primarily in Renewable Energy Protection. Top assignee: North China Electric Power University. Active years: 2020-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ke Jia. Retrieved from https://idiyas.com/inventor/ke-jia

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

USPTO Granted Patents = 19 

% Patents Active = 94.7

 

Average Co-Inventor Count = 3.6

ph-index = 3

Forward Citations = 22(Granted Patents)


Company Filing History:


Years Active: 2020-2026

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Areas of Expertise:
Low Voltage Ride-Through
Fault Detection
Power System Protection
Disturbance Identification
Inverter-Interfaced
Photovoltaic Systems
Data Correction
Voltage Measurement
Active Control
Power Transmission
Spectral Clustering
LSTM Network
19 patents (USPTO):Explore Patents

Title: Ke Jia: Innovating Power Systems in Beijing

Introduction:

In the realm of power systems, Ke Jia stands out as an exceptional innovator and inventor. Hailing from Beijing, China, Jia has made significant contributions to the field, with 14 patents under his name. This article sheds light on Ke Jia's latest patents, career highlights, collaborations, and his valuable role at North China Electric Power University.

Latest Patents:

Ke Jia's most recent patent innovations demonstrate his expertise and dedication in enhancing power system operations. One of his notable patents is the "Synchrophasor measurement-based disturbance identification method," which effectively addresses the challenges posed by varying renewable energy penetration levels. This method utilizes a differential Teager-Kaiser energy operator and incorporates the integrated additive angular margin (AAM) loss and long short-term memory (LSTM) network for feature extraction. The resulting model enables accurate identification of disturbances, particularly during high-penetration renewable energy scenarios.

Another groundbreaking patent is his "PMU data correction using a recovery method." In this innovation, Jia presents a data-driven algorithm utilizing spectral clustering for the detection of bad data in Phasor Measurement Unit (PMU) readings. This method circumvents the need for system topology and parameters, making it a versatile and efficient solution for power system operators. The algorithm employs a decision tree-based data identification method to distinguish event data from bad data, followed by a spectral clustering approach to detect data with small deviations.

Career Highlights:

Ke Jia's impressive career is closely tied to his affiliation with North China Electric Power University. Through his work, he has made significant strides in power system research and development, contributing to the university's reputation as a hub for innovative solutions. Jia's expertise in synchrophasor technology, disturbance identification, and data correction has garnered him recognition both locally and internationally.

Collaborations:

In his pursuit of groundbreaking innovations, Ke Jia has had the pleasure of collaborating with esteemed colleagues. Among them, Tianshu Bi and Hao Liu have been instrumental in Jia's research endeavors. Through fruitful teamwork, they have helped advance power system technology and contribute valuable insights to the field.

Conclusion:

Ke Jia's inventive contributions in the power systems domain have undoubtedly made a lasting impact. With his latest patents focused on synchrophasor measurement-based disturbance identification and PMU data correction methodology, Jia showcases his commitment to addressing contemporary challenges faced by power system operators. Through his affiliation with North China Electric Power University and collaborations with fellow researchers, Jia continues to drive innovation and pave the way for the future of power systems in Beijing and beyond.

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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