Capturing Spatial Influence in Wind Prediction With a Graph Convolutional Neural Network
Nowadays, wind power is playing a significant role in power systems; it is necessary to improve the prediction accuracy, which will help make better use of wind sources. The existing neural network methods, such as recurrent neural network (RNN), have been widely used in wind prediction; however, RN...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-03-01
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| Series: | Frontiers in Environmental Science |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fenvs.2022.836050/full |