Comparative analysis of machine learning models for wind speed forecasting: Support vector machines, fine tree, and linear regression approaches

Comparative analysis of machine learning models for wind speed forecasting: Support vector machines, fine tree, and linear regression approaches

Wind speed is an important parameter of wind energy conversion, and its forecast is significant for optimal power generation and maintaining the stability of the electricity supply. In this work, three predictive models, namely Fine Tree, Support Vector Machine (SVM), and Linear Regression, are asse...

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Bibliographic Details
Main Author: Yousef Altork
Format: Article
Language:English
Published: Elsevier 2025-05-01
Series:International Journal of Thermofluids
Subjects:
Wind speed forecasting
Machine learning models
Fine tree
Support Vector Machines (SVM)
Linear Regression
Online Access:http://www.sciencedirect.com/science/article/pii/S2666202725001648
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