A multi-channel spatiotemporal SegNet model for short term wind power prediction with sequence decomposition and reconstruction
High precision wind power prediction can serve as an important reference for wind power grid integration. However, the complex spatiotemporal correlations between wind turbine operations and the high randomness of wind energy pose serious challenges to accurate wind power sequence prediction. This a...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-09-01
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| Series: | Results in Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123025018687 |
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