This inventor holds 1 USPTO granted patent and 1 EPO patent. Top assignees: Economic and Technological Research Institute of State Grid Liaoning Electric Power Co., Ltd., Northeast Electric Power University, State Grid Corporation of China. Active years: 2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024
Title: Fangyuan Yang: Innovator in Wind Power Prediction
Introduction
Fangyuan Yang is a notable inventor based in Liaoning, China. He has made significant contributions to the field of renewable energy, particularly in the area of wind power prediction. His innovative approach combines advanced data analysis techniques with meteorological forecasting to enhance the efficiency of wind farms.
Latest Patents
Fangyuan Yang holds a patent for a "Method and system for predicting a day-ahead wind power of wind farms." This method involves constructing a raw data set that correlates daily wind power predictions with numerical weather forecasts and historical data. The process includes k-means clustering to categorize data, generating labeled scenes using robust auxiliary classifier generative adversarial networks, and ultimately predicting daily wind power based on various statistical measures.
Career Highlights
Throughout his career, Fangyuan Yang has worked with prominent organizations such as the Economic and Technological Research Institute of State Grid Liaoning Electric Power Co., Ltd. and the State Grid Corporation of China. His work has focused on improving the accuracy of wind power forecasts, which is crucial for optimizing energy production from wind farms.
Collaborations
Fangyuan has collaborated with colleagues such as Xiao Pan and Mingli Zhang, contributing to advancements in the field of wind energy and predictive analytics.
Conclusion
Fangyuan Yang's innovative methods in predicting wind power demonstrate his commitment to advancing renewable energy technologies. His contributions are vital for the future of sustainable energy production.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile