Medium and Long Term Wind Power Prediction Based on Graph Convolutional Network and Wind Velocity Differential Fitting

Medium and Long Term Wind Power Prediction Based on Graph Convolutional Network and Wind Velocity Differential Fitting

In order to make full use of the prior relationships among data features and improve the prediction accuracy of medium and long term wind power at wind farms, a medium and long term wind power prediction model based on graph convolution neural network (GCN), wind velocity differential fitting (DF),...

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Bibliographic Details
Main Authors: Zihan CHEN, Wei TENG, Xuefeng XU, Xian DING, Yibing LIU
Format: Article
Language:zho
Published: State Grid Energy Research Institute 2023-08-01
Series:Zhongguo dianli
Subjects:
wind power generation
wind power prediction
graph convolutional neural network
wind velocity differential fitting
particle swarm optimization algorithm
Online Access:https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202303050
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https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202303050

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