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: Hua Li - Innovator in Wind Power Prediction
Introduction
Hua Li 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
Hua Li 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
Hua Li 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 experience in these institutions has allowed him to apply his innovative methods in real-world scenarios, contributing to advancements in energy efficiency.
Collaborations
Hua has collaborated with notable colleagues, including Xiao Pan and Mingli Zhang. Their combined expertise has fostered a productive environment for innovation in the field of wind energy.
Conclusion
Hua Li's work exemplifies the intersection of technology and renewable energy. His contributions to wind power prediction are paving the way for more efficient energy solutions. His innovative methods and collaborative efforts continue to influence the industry positively.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile