Tempe, AZ, United States of America

Lei Yang

This inventor holds 2 USPTO granted patents. Top assignee: Arizona State University. Active years: 2016-2019.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Lei Yang. Retrieved from https://idiyas.com/inventor/lei-yang-uyj458ca

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


% Patents Active = 50.0

Average Co-Inventor Count = 4.0

ph-index = 2

Forward Citations = 15(Granted Patents)


Company Filing History:


Years Active: 2016-2019

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2 patents (USPTO):Explore Patents

Title: Lei Yang: Innovator in Wind Power Generation Forecasting

Introduction

Lei Yang is a prominent inventor based in Tempe, AZ (US), known for his contributions to the field of wind power generation forecasting. With a total of 2 patents, he has developed innovative systems and methods that enhance the efficiency and reliability of wind energy production.

Latest Patents

One of Lei Yang's latest patents is titled "Support vector machine enhanced models for short-term wind farm generation forecasting." This patent discloses systems and methods for forecasting wind farm power generation using a support vector machine (SVM) enhanced Markov model. The approaches presented in this patent accurately account for wind ramp-up and ramp-down, as well as the diurnal non-stationarity and seasonality of wind power generation. By utilizing these forecasting methods, utilities and grid managers can make improved decisions regarding electrical power generation and transmission, ultimately reducing costs and pollution.

Another significant patent is "System and method for wind generation forecasting." This patent outlines systems and methods for managing electricity within an electrical supply grid that is connected to a wind farm. The methods include identifying relationships among multiple turbines in the wind farm using a minimum spanning tree, calculating power output relationships, and creating a finite state space Markov chain forecast model. These innovations enable the prediction of power output from the wind farm and allow for modifications in electricity generation and distribution based on the forecasted data.

Career Highlights

Lei Yang is affiliated with Arizona State University, where he continues to advance research in renewable energy technologies. His work focuses on improving the accuracy of wind power generation forecasts, which is crucial for optimizing energy production and distribution.

Collaborations

Lei has collaborated with notable colleagues, including Junshan Zhang and Miao He, who contribute to his research efforts in the field of wind energy forecasting.

Conclusion

In summary, Lei Yang is an influential inventor whose work in wind power generation forecasting is paving the way for more efficient and sustainable energy solutions. His innovative patents and research at Arizona State University are making significant contributions to the renewable energy sector.

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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