Yunhao Yang

Title: Innovations of Yunhao Yang in Wind Power Forecasting

Introduction

Yunhao Yang 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

Yunhao Yang 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 as inputs, the model effectively forecasts the probability density distribution of wind power, leading to more accurate predictions.

Career Highlights

Throughout his career, Yunhao Yang has worked at prominent 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.

Collaborations

Yunhao Yang has collaborated with notable colleagues, including Shurong Peng and Jiayi Peng. Their joint efforts have contributed to advancements in the field of wind power forecasting.

Conclusion

Yunhao Yang's innovative work in wind power forecasting exemplifies the importance of research and development in renewable energy. His patent and career achievements highlight his commitment to improving the accuracy of wind power predictions, which is essential for the future of sustainable energy solutions.