Xudong Hu

Title: Xudong Hu: Innovator in Machine Learning for New Energy Prediction

Introduction

Xudong Hu is a prominent inventor based in Guangzhou, China. He has made significant contributions to the field of machine learning, particularly in the context of new energy power prediction. His innovative approach combines cloud-edge collaboration with advanced predictive modeling techniques.

Latest Patents

Xudong Hu holds a patent for a method and system for automatic machine learning-based prediction of new energy power with cloud-edge collaboration. This patent outlines a comprehensive method that includes obtaining future numerical weather prediction data and historical output power data. The process involves selecting a target power prediction model and adjusting it according to the target working mode to predict future output power effectively.

Career Highlights

Xudong Hu is associated with CSG Digital Power Grid Research Institute Co., Ltd., where he applies his expertise in machine learning and energy systems. His work focuses on enhancing the efficiency and accuracy of power predictions for new energy stations.

Collaborations

Xudong collaborates with notable colleagues, including Peng Li and Xiyuan Ma, who contribute to his research and development efforts in the field of energy prediction.

Conclusion

Xudong Hu's innovative work in machine learning and energy prediction exemplifies the potential of technology to transform the new energy sector. His contributions are paving the way for more efficient energy management solutions.