Beijing, China

Jianxiao Wang

USPTO Granted Patents = 2 

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2021-2024

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2 patents (USPTO):Explore Patents

Title: Innovations of Jianxiao Wang in Power Internet of Things

Introduction

Jianxiao Wang is a notable inventor based in Beijing, China, recognized for his contributions to the field of power systems and renewable energy. With a total of two patents, he has made significant strides in developing innovative methods for optimizing power generation and forecasting photovoltaic energy.

Latest Patents

Wang's latest patents include a "Distributed dispatch method for ubiquitous power Internet of Things based on transition matrix." This invention provides a method for optimizing the dispatch of power generators within a ubiquitous power Internet of Things framework. The method involves setting a marginal cost function for each generator, establishing an optimization model, and generating a power output plan based on an optimized transition matrix.

Another significant patent is the "Method and apparatus for photovoltaic power forecast based on numerical weather prediction." This invention outlines a method for predicting photovoltaic power output by analyzing historical weather data and employing singular value decomposition to identify principal component features. This approach allows for accurate forecasting of photovoltaic energy based on weather predictions.

Career Highlights

Jianxiao Wang has worked with esteemed organizations such as Tsinghua University and Beijing Tsintergy Technology Co., Ltd. His experience in these institutions has contributed to his expertise in power systems and renewable energy technologies.

Collaborations

Wang has collaborated with notable colleagues, including Haiwang Zhong and Qing Xia, who have also contributed to advancements in the field of energy systems.

Conclusion

Jianxiao Wang's innovative patents and career achievements highlight his significant role in advancing power generation and forecasting technologies. His work continues to influence the development of efficient energy systems in the context of the Internet of Things.

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