Xing Ji

Title: Innovations by Xing Ji in Wind Power Prediction

Introduction

Xing Ji is a notable inventor based in Liaoning, China. He has made significant contributions to the field of renewable energy, particularly in the prediction of wind power generation. His innovative approach combines advanced data analysis techniques with meteorological forecasting to enhance the efficiency of wind farms.

Latest Patents

Xing Ji 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 statistical analysis of historical data.

Career Highlights

Throughout his career, Xing Ji 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 in these institutions has allowed him to apply his innovative methods in real-world scenarios, contributing to advancements in energy efficiency and sustainability.

Collaborations

Xing Ji has collaborated with notable colleagues, 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 technologies in the field of wind energy.

Conclusion

Xing Ji's contributions to wind power prediction exemplify the importance of innovation in renewable energy. His patented methods not only enhance the accuracy of wind power forecasts but also support the broader goal of sustainable energy development.