Transforming Wind Data into Insights: A Comparative Study of Stochastic and Machine Learning Models in Wind Speed Forecasting

Transforming Wind Data into Insights: A Comparative Study of Stochastic and Machine Learning Models in Wind Speed Forecasting

Wind speed is a critical parameter for both energy applications and climate studies, particularly under changing climatic conditions and has attracted increasing research interest from the scientific comunity. This parameter is of interest to both researchers interested in climate change and researc...

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Bibliographic Details
Main Authors: Türker Tuğrul, Sertaç Oruç, Mehmet Ali Hınıs
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Applied Sciences
Subjects:
wind speed
LSTM
ANN
SVM
wavelet transform
machine learning
Online Access:https://www.mdpi.com/2076-3417/15/7/3543
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