A ML-Based Wind Speed Prediction Model with Truncated Real-Time Decomposition and Multi-Resolution Data

A ML-Based Wind Speed Prediction Model with Truncated Real-Time Decomposition and Multi-Resolution Data

Accurate wind speed prediction is of importance for long-span cross-sea bridges. To this end, data decomposition techniques are usually employed to promote accuracy of the prediction model. Since wind speed data come sequentially, real-time decomposition should be adopted. However, real-time decompo...

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Bibliographic Details
Main Authors: Hui Feng, Yao Jin, Shujin Laima, Feiyang Han, Wengchen Xu, Zhiqiang Liu
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Applied Sciences
Subjects:
wind speed prediction
data decomposition
multi-resolution data
machine learning
long-span bridge
Online Access:https://www.mdpi.com/2076-3417/12/19/9610

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