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Updated: Sep 9, 2025

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
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基于机器学习的风速不确定性的概率预测,使用自适应的核密度估计

Rami Al-Hajj1

  • 1College of Engineering and Technology, American University of the Middle East, Kuwait.

Mathematical biosciences and engineering : MBE
|September 3, 2025
PubMed
概括

准确的短期风速预测对于可再生能源至关重要. 这项研究引入了一种混合支持向量回归与自适应核密度估计 (SVR-AKDE) 模型,用于精确的预测间隔,提高风能可靠性.

关键词:
在 AKDE在SVR适应性核密度估计器预测时间间隔概率能源预测可再生能源支持向量回归器预测风速

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