相关实验视频

组合与自适应深度融合用于短期电力负载预测

Yiling Wang1, Yan Niu1, Xuejun Li2

  • 1College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan 030024, China.

Entropy (Basel, Switzerland)
|February 27, 2026
PubMed
概括

这项研究引入了一种新的集成与自适应深度融合 (EEADF) 框架,用于准确的短期功率负载预测. 通过有效地融合多个特征信息并捕捉复杂的系统动态,EEADF方法提高了预测准确性.

关键词:
这是LSTM的LSTM.适应性融合适应性融合深度学习是一种深度学习.整体的.多模式时间序列分析.预测功率负载的预测

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