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Updated: May 28, 2025

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

Published on: February 13, 2018

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短期风速的概率预测间隔使用选择的特征和时间转移依赖机器学习模型.

Rami Al-Hajj1, Gholamreza Oskrochi1, Mohamad M Fouad2

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

Mathematical biosciences and engineering : MBE
|February 14, 2025
PubMed
概括

这项研究引入了预测风速的新框架,通过分离白天和夜间预测来提高准确性. 这种方法通过更好地模拟风速的不确定性,提高了风能行业的可靠性.

关键词:
选择特征 选择特征 选择特征核密度估计器核密度估计器预测间隔的时间概率的能源预测.支持向量的回归器风能是风能中的一种.预测风速 预测风速

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