Beijing, China

Guangyu Qin

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Other. Active years: 2021.

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 5(Granted Patents)


Company Filing History:

goldMedal1 out of 834,453 
Other
 patents

Years Active: 2021

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1 patent (USPTO):Explore Patents

Title: Innovations of Guangyu Qin in Power Load Forecasting

Introduction

Guangyu Qin is a notable inventor based in Beijing, China. He has made significant contributions to the field of energy management through his innovative approaches to load forecasting. His work focuses on enhancing the efficiency and accuracy of power load predictions in multi-energy coupling scenarios.

Latest Patents

Guangyu Qin holds a patent for a "Power load forecasting method in multi-energy coupling mode." This invention outlines a comprehensive method for forecasting load demand based on a multi-energy coupling scene. The process involves establishing a multilevel indicator system of key influencing factors, normalizing data, and utilizing an adaptive firework algorithm (AFWA) to optimize predictions. This method not only improves calculation efficiency but also enhances model stability and forecasting accuracy.

Career Highlights

Throughout his career, Guangyu Qin has demonstrated a commitment to advancing energy forecasting technologies. His innovative methods have been recognized for their potential to transform how energy demands are predicted and managed. His work is crucial in addressing the challenges posed by the increasing complexity of energy systems.

Collaborations

Guangyu Qin has collaborated with notable colleagues, including Heping Jia and Dunnan Liu. These partnerships have contributed to the development and refinement of his innovative forecasting methods.

Conclusion

Guangyu Qin's contributions to power load forecasting represent a significant advancement in energy management. His innovative methods are paving the way for more efficient and accurate energy predictions, which are essential for the future of multi-energy systems.

Profile summary based on public USPTO records.
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