Ultra-Short-Term Wind Power Forecasting Based on DT-DSCTransformer Model
When using the Transformer model for wind power prediction, the accuracy of the model predictions tends to be reduced due to the shift in the wind power data distribution, channel mixing, and the inability of the model to establish strong correlations. To address these challenges, this paper propose...
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Main Authors: | Yanlong Gao, Feng Xing, Lipeng Kang, Mingming Zhang, Caiyan Qin |
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Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10858711/ |
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