Jiayi Peng

Title: Jiayi Peng: Innovator in Wind Power Forecasting

Introduction

Jiayi Peng is a notable 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

Jiayi Peng holds a patent for a "Forecast method and system of wind power probability density." This method involves acquiring and preprocessing wind power data to establish a dataset. He constructs a time-variant deep feed-forward neural network forecast model, which includes multiple layers of neural networks. Each layer consists of an input layer, a hidden layer, and an output layer connected in sequence. The model takes wind power data at adjacent moments as input and outputs the probability density distribution of wind power. This innovative approach allows for more accurate and reliable wind power forecasts.

Career Highlights

Throughout his career, Jiayi Peng has worked at prominent institutions such as Shenzhen Technology University and Zhejiang University. His experience in these academic environments has contributed to his expertise in the field of renewable energy and forecasting technologies.

Collaborations

Jiayi has collaborated with notable colleagues, including Shurong Peng and Yunhao Yang. Their combined efforts in research and development have further advanced the understanding and application of wind power forecasting methods.

Conclusion

Jiayi Peng's contributions to wind power forecasting demonstrate his commitment to innovation in renewable energy. His patented methods are paving the way for more efficient and reliable energy solutions.