Spiking Neural Network-based Wind Speed Forecasting Design & Implement - Qian, Dianwei;Ma, Yufen
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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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Produktbeschreibung
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.
Autorenporträt
Dianwei Qian is currently an Associate Professor in the North China Electric Power University, Beijing. He received a Bachelor degree from the Hohai University, Nanjing, in 2003 and a Master degree from the Northeastern University, Shenyang, in 2005 and a PHD degree from the Institute of Automation, Chinese Academy of Sciences, Beijing, in 2008.