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Updated: Sep 11, 2025

Measurements of Waves in a Wind-wave Tank Under Steady and Time-varying Wind Forcing
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DTCMMA:基于维度转换结合多维和多尺度卷积注意力机制的高效风力发电预测

Wenhan Song1, Enguang Zuo2,3, Junyu Zhu1

  • 1School of Computer Science and Technology, Xinjiang University, Urumqi 830046, China.

Sensors (Basel, Switzerland)
|August 14, 2025
PubMed
概括

本研究引入了一种新的风力发电预测方法,DTCMMA,通过转换数据和使用先进的注意力机制,准确预测能源输出. 该模型显著提高了清洁能源整合的预测准确性和计算效率.

关键词:
卷积性注意力机制的注意力机制深度学习是一种深度学习.一个维度转换的变化.预测风力发电的情况

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