Short-Term Wind Speed Forecasting Based on Signal Decomposing Algorithm and Hybrid Linear/Nonlinear Models

Short-Term Wind Speed Forecasting Based on Signal Decomposing Algorithm and Hybrid Linear/Nonlinear Models

Accurate wind speed forecasting is a significant factor in grid load management and system operation. The aim of this study is to propose a framework for more precise short-term wind speed forecasting based on empirical mode decomposition (EMD) and hybrid linear/nonlinear models. Original wind speed...

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Bibliographic Details
Main Authors: Qinkai Han, Hao Wu, Tao Hu, Fulei Chu
Format: Article
Language:English
Published: MDPI AG 2018-11-01
Series:Energies
Subjects:
wind speed forecasting
hybrid modeling
EMD
ARIMA
machine learning models
Online Access:https://www.mdpi.com/1996-1073/11/11/2976

Internet

https://www.mdpi.com/1996-1073/11/11/2976

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