Jieni He

Title: Innovations in Wind Power Forecasting by Jieni He

Introduction

Jieni He is an accomplished inventor based in Changsha, China. He has made significant contributions to the field of wind power forecasting through his innovative patent. His work focuses on enhancing the accuracy and reliability of wind power predictions, which is crucial for the renewable energy sector.

Latest Patents

Jieni He holds a patent titled "Forecast method and system of wind power probability density." This patent describes a comprehensive forecast method that includes acquiring and preprocessing wind power data, establishing a data set, and constructing a time-variant deep feed-forward neural network forecast model. The model consists of multiple layers of neural networks, each containing an input layer, a hidden layer, and an output layer. By utilizing wind power data at adjacent moments, the model is trained to provide more accurate and reliable forecasts of wind power probability density.

Career Highlights

Throughout his career, Jieni He has worked at notable institutions such as Shenzhen Technology University and Zhejiang University. His experience in these academic environments has allowed him to develop and refine his innovative forecasting methods. His dedication to research and development in the field of renewable energy has positioned him as a key figure in advancing wind power technologies.

Collaborations

Jieni He has collaborated with esteemed colleagues, including Shurong Peng and Yunhao Yang. These partnerships have contributed to the development of his forecasting methods and have fostered a collaborative environment for innovation in wind power research.

Conclusion

Jieni He's contributions to wind power forecasting through his innovative patent demonstrate his commitment to advancing renewable energy technologies. His work not only enhances the accuracy of wind power predictions but also supports the broader goal of sustainable energy development.