Xuming Lv

Title: Xuming Lv: Innovator in Wind Power Prediction

Introduction

Xuming Lv 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

Xuming Lv holds a patent titled "Method and system for predicting a day-ahead wind power of wind farms." This patent describes a comprehensive method for forecasting daily wind power output. The process involves constructing a raw data set that correlates the predicted daily wind power with numerical weather forecasts and historical data. It utilizes k-means clustering to categorize data and employs robust auxiliary classifier generative adversarial networks to generate labeled scenes. The method ultimately provides accurate predictions of wind power at various times throughout the day.

Career Highlights

Throughout his career, Xuming Lv has worked with prominent organizations such as the State Grid Corporation of China and Northeast Electric Power University. His experience in these institutions has allowed him to develop and refine his innovative methods for wind power prediction.

Collaborations

Xuming Lv has collaborated with talented individuals in his field, including Zhuoran Song and Jing Gao. These partnerships have contributed to the advancement of his research and the successful implementation of his patented methods.

Conclusion

Xuming Lv's work in predicting wind power generation represents a significant advancement in renewable energy technology. His innovative methods and collaborations continue to influence the field positively.