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Updated: Jun 27, 2025

Measurements of Waves in a Wind-wave Tank Under Steady and Time-varying Wind Forcing
08:54

Measurements of Waves in a Wind-wave Tank Under Steady and Time-varying Wind Forcing

Published on: February 13, 2018

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基于软传感器数据预处理和变量模态分解的LSTM短期风力发电预测方法

Peng Lei1,2, Fanglan Ma2,3, Changsheng Zhu2

  • 1Network & Information Center, Lanzhou University of Technology, Lanzhou 730050, China.

Sensors (Basel, Switzerland)
|April 27, 2024
PubMed
概括

这项研究使用长短期记忆 (LSTM) 网络与变量模态分解 (VMD) 结合,提高了风力发电预测. 这种方法通过分解数据和减少噪音来显著提高准确性,从而使短期风力发电预测更可靠.

关键词:
这是LSTM的LSTM.这是VMD的VMD.数据预处理数据预处理.森林隔离 森林隔离短期风力发电预测预测软传感器是一种软传感器.

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