相关实验视频

Updated: Jun 16, 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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Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

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适应性机器学习用于风能预测:用于短期和长期预测的动态,多算法方法

Mutaz AlShafeey1, Csaba Csaki1

  • 1Institute of Data Analytics and Information Systems, Corvinus University of Budapest, Budapest, Fővám tér 13-15, H-1093, Hungary.

Heliyon
|August 21, 2024
PubMed
概括

一个新的动态混合模型使用人工神经网络,支持矢量机器和K-Nearest Neighbors来提高风能预测的准确性. 这种先进的模型为电网运营商提供了卓越的短期和长期预测.

关键词:
比较评估方法比较的评估方法.动态混合动力模型模型.机器学习技术 机器学习技术短期和长期预测预测.风能预测风能的预测

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