Beijing, China

Ershun Du

USPTO Granted Patents = 2 

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2019-2022

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2 patents (USPTO):

Title: Ershun Du: Innovator in Power System Forecasting

Introduction

Ershun Du is a prominent inventor based in Beijing, China. He has made significant contributions to the field of power system forecasting, holding 2 patents that showcase his innovative approaches to enhancing power load predictions and operational simulations.

Latest Patents

One of his latest patents is titled "Method for quantile probabilistic short-term power load ensemble forecasting." This invention relates to a method that divides historical power load data into two sets, performs bootstrap sampling, and trains various regression models to create a quantile forecasting model. This model aims to predict power load in a power system effectively.

Another notable patent is "Fast model generating and solving method for security-constrained power system operation simulation." This method involves obtaining information about branches and nodes during operation simulation, calculating various matrices, and iteratively solving for generator outputs under security constraints. This innovative approach ensures that power systems operate efficiently and safely.

Career Highlights

Ershun Du is affiliated with Tsinghua University, where he continues to advance research in power systems. His work is characterized by a strong focus on practical applications that address real-world challenges in energy management and forecasting.

Collaborations

He collaborates with esteemed colleagues such as Ning Zhang and Chongqing Kang, contributing to a dynamic research environment that fosters innovation and development in the field of power systems.

Conclusion

Ershun Du's contributions to power system forecasting through his patents and research at Tsinghua University highlight his role as a key innovator in the field. His work not only enhances the understanding of power load predictions but also improves the operational efficiency of power systems.

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