Ultra-Short-Term Wind Power Forecasting Based on DT-DSCTransformer Model

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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Bibliographic Details
Main Authors: Yanlong Gao, Feng Xing, Lipeng Kang, Mingming Zhang, Caiyan Qin
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Transformer
wind power prediction
distribution shift
DT
DSCAttention
Online Access:https://ieeexplore.ieee.org/document/10858711/
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https://ieeexplore.ieee.org/document/10858711/

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