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Spiking Neural Network-based Wind Speed Forecasting Design & Implement
(Englisch)
Dianwei Qian & Yufen Ma

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Produktbeschreibung

Autor/Autorin: Qian Dianwei

DW Qian is a faculty member with the North China Electric Power University, Beijing, China. He received his PHD degree from the Institute of Automation, Chinese Academy of Sciences in 2008. His research fields cover nonlinear control, artificial intelligence and their applications.
Wind speed is the most important factor affecting the output power of wind farms. Therefore, wind speed forecasting is an important part of the research of power system operation and can provide important reference for power load forecasting. This book focuses on the research of wind speed forecasting, summarizes the development status and the practical significance of the wind speed forecasting research.

Qian, Dianwei
DW Qian is a faculty member with the North China Electric Power University, Beijing, China. He received his PHD degree from the Institute of Automation, Chinese Academy of Sciences in 2008. His research fields cover nonlinear control, artificial intelligence and their applications.

Über den Autor

Dr Dianwei Qian is with the School of Control and Computer Engineering, North China Electric Power University, Beijing, China.


Klappentext

Wind speed is the most important factor affecting the output power of wind farms. Therefore, wind speed forecasting is an important part of the research of power system operation and can provide important reference for power load forecasting. This book focuses on the research of wind speed forecasting, summarizes the development status and the practical significance of the wind speed forecasting research.



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