Anhui, China

Zhifeng Guo

This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: Hefei University of Technology. Active years: 2022.

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Zhifeng Guo: Innovator in Power Load Prediction

Introduction

Zhifeng Guo is a prominent inventor based in Anhui, China. He has made significant contributions to the field of power load prediction through innovative methodologies that leverage deep learning techniques. His work is essential for enhancing the efficiency and reliability of power systems.

Latest Patents

Zhifeng Guo 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

Zhifeng Guo is affiliated with Hefei University of Technology, where he contributes to research and development in the field of electrical engineering. His innovative work has garnered attention for its practical applications in predicting power load, which is crucial for energy management and sustainability.

Collaborations

Zhifeng Guo collaborates with notable colleagues, including Kaile Zhou and Shanlin Yang. Their combined expertise enhances the research output and innovation potential within their projects.

Conclusion

Zhifeng Guo's contributions to power load prediction through deep learning methodologies exemplify the impact of innovative thinking in the energy sector. His work not only advances academic research but also has practical implications for improving energy efficiency.

Profile summary based on public USPTO records.
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