Enhancing Wind Turbine Power Forecast via Convolutional Neural Network

Enhancing Wind Turbine Power Forecast via Convolutional Neural Network

The rapid development in wind power comes with new technical challenges. Reliable and accurate wind power forecast is of considerable significance to the electricity system’s daily dispatching and production. Traditional forecast methods usually utilize wind speed and turbine parameters as the model...

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Bibliographic Details
Main Authors: Tianyang Liu, Zunkai Huang, Li Tian, Yongxin Zhu, Hui Wang, Songlin Feng
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Electronics
Subjects:
convolutional neural network
GWF matrices
ripple encoding
wind power generation forecast
Online Access:https://www.mdpi.com/2079-9292/10/3/261

Internet

https://www.mdpi.com/2079-9292/10/3/261

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