This inventor holds 1 USPTO granted patent. Top assignee: Vaisala, Inc.. Active years: 2015.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2015
Title: Innovations of Jianmin Shao in Wind Forecasting
Introduction
Jianmin Shao is a notable inventor based in Birmingham, GB. He has made significant contributions to the field of wind forecasting and grid management. His innovative work is aimed at improving the efficiency and reliability of wind power systems.
Latest Patents
Jianmin Shao holds a patent for "Systems and methods for wind forecasting and grid management." This patent describes a wind power ramp event nowcasting system that includes a wind condition analyzer for detecting a wind power ramp signal. The system features a sensor array situated in an area relative to a wind farm, providing data to the wind condition analyzer. It also incorporates a mesoscale numerical model, a neural network pattern recognizer, and a statistical forecast model. The statistical model receives input from the wind condition analyzer, the mesoscale numerical model, and the neural network pattern recognizer, ultimately outputting a time and duration for the wind power ramp event (WPRE) for the wind farm. Jianmin Shao has 1 patent to his name.
Career Highlights
Jianmin Shao is currently employed at Vaisala, Inc., where he continues to develop innovative solutions in the field of wind energy. His work focuses on enhancing the accuracy of wind forecasts, which is crucial for effective grid management and energy distribution.
Collaborations
Jianmin has collaborated with notable colleagues such as Nicholas Wilson and Richard Pyle. Their combined expertise contributes to the advancement of technologies in wind forecasting.
Conclusion
Jianmin Shao's contributions to wind forecasting and grid management demonstrate his commitment to innovation in renewable energy. His patent and ongoing work at Vaisala, Inc. highlight the importance of accurate wind predictions in optimizing energy systems.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
