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Updated: Jun 28, 2026

A Rapid Method for Modeling a Variable Cycle Engine
04:58

A Rapid Method for Modeling a Variable Cycle Engine

Published on: August 13, 2019

通过在混合深度学习框架中的特征融合来增强短期风电预测的研究

Xianlong Su1,2, Jinming Gao1, Kai Han3

  • 1Department of Computer Science and Engineering, Pai Chai University, 155-40 Baejae-ro, Daejeon, 35345, Republic of Korea.

Scientific reports
|February 19, 2026
PubMed
概括

这项研究引入了一种新的混合深度学习模型,用于准确的风力发电预测. 该TCN-SENet-BiGRU-全球关注模型提高了可再生能源电网的预测准确性和稳定性.

关键词:
功能融合的特点是:全球关注机制 全球关注机制混合动力模型 混合动力模型时间依赖性时间依赖性预测风力发电的情况

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