Pengtao Li

Title: Innovations of Pengtao Li in Power Load Prediction

Introduction

Pengtao Li is a notable inventor based in Anhui, China. He has made significant contributions to the field of power load prediction through his innovative methods and systems. His work focuses on utilizing deep learning techniques to enhance the accuracy of power load forecasting.

Latest Patents

Pengtao Li holds a patent titled "Method, system and storage medium for predicting power load probability density based on deep learning." This patent outlines a comprehensive approach that includes collecting power load data, meteorological data, and air quality data over a historical period. The method involves dividing the data into training and test sets, determining a deep learning model for prediction, and performing kernel density estimation to obtain a probability density curve for power load.

Career Highlights

Pengtao Li is affiliated with Hefei University of Technology, where he contributes to research and development in the field of energy management. His innovative approach to predicting power load has the potential to significantly impact energy efficiency and resource management.

Collaborations

He has collaborated with notable colleagues, including Kaile Zhou and Zhifeng Guo, to advance research in this domain.

Conclusion

Pengtao Li's work exemplifies the intersection of technology and energy management, showcasing the importance of innovation in predicting power load. His contributions are paving the way for more efficient energy systems in the future.