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: Lin Zhao: Innovator in Wind Power Prediction
Introduction
Lin Zhao 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
Lin Zhao 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 based on the correlation between the predicted daily wind power, numerical weather forecast features, and historical daily wind power. The process includes obtaining a clustered data set through k-means clustering, generating labeled scenes using robust auxiliary classifier generative adversarial networks, and determining the cluster label category for accurate predictions. The results provide valuable insights into the expected wind power at various times throughout the day.
Career Highlights
Throughout his career, Lin Zhao has worked with prominent organizations, including the Economic and Technological Research Institute of State Grid Liaoning Electric Power Co., Ltd. and the State Grid Corporation of China. His experience in these institutions has allowed him to apply his innovative methods in real-world scenarios, contributing to the advancement of wind energy technologies.
Collaborations
Lin Zhao has collaborated with several professionals in his field, including Xiao Pan and Mingli Zhang. These partnerships have fostered a collaborative environment that encourages the exchange of ideas and the development of cutting-edge solutions in wind power prediction.
Conclusion
Lin Zhao's contributions to the field of wind power prediction exemplify the importance of innovation in renewable energy. His patented methods and collaborative efforts continue to pave the way for advancements in this critical area of technology.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile