Multiplex parallel GAT-ALSTM: A novel spatial-temporal learning model for multi-sites wind power collaborative forecasting
In order to improve the accuracy of wind power output forecasting and ensure reliability of the power grid, multiplex parallel GAT-ALSTM, a spatial-temporal learning model for multi-sites wind power collaborative forecasting is proposed in this study. Topography was generated by using geographic inf...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2022-08-01
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| Series: | Frontiers in Energy Research |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2022.974682/full |