This inventor holds 1 USPTO granted patent and 3 published patent applications. Top assignees: China Three Gorges Corporation, Three Gorges Group Industrial Development (Beijing) Co., Ltd. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Kehan Li: Innovator in Photovoltaic Power Generation
Introduction
Kehan Li is a notable inventor based in Wuhan, China. He has made significant contributions to the field of photovoltaic power generation, particularly through his innovative methods for diagnosing abnormalities in power generation systems. His work is essential for enhancing the efficiency and reliability of solar energy systems.
Latest Patents
Kehan Li holds a patent for an "Abnormality diagnosis method of photovoltaic power generation, device, computer device and storage medium." This patent discloses a method that involves acquiring operation data from a photovoltaic station and generating a prediction model using a neural network. The method evaluates daily power generation capacity fluctuations and efficiency to identify abnormal photovoltaic stations. By comparing operational data with established abnormality conditions, the method provides accurate evaluations and insights for managing photovoltaic operations.
Career Highlights
Throughout his career, Kehan Li has worked with prominent organizations, including China Three Gorges Corporation and Three Gorges Group Industrial Development (Beijing) Co., Ltd. His experience in these companies has allowed him to apply his innovative ideas in real-world applications, contributing to advancements in renewable energy technologies.
Collaborations
Kehan Li has collaborated with talented individuals such as Xinya Liu and Tingyan Lv. These partnerships have fostered a creative environment that encourages the development of cutting-edge solutions in the field of photovoltaic power generation.
Conclusion
Kehan Li's contributions to the photovoltaic power generation sector demonstrate his commitment to innovation and sustainability. His patented methods for diagnosing abnormalities in power generation systems are paving the way for more efficient solar energy management.