Short-Term Wind Speed Prediction Based on Variational Mode Decomposition and Linear–Nonlinear Combination Optimization Model

Short-Term Wind Speed Prediction Based on Variational Mode Decomposition and Linear–Nonlinear Combination Optimization Model

Wind power, one of renewable energy resources, is a fluctuating source of energy that prevents its further participation in the power market. To improve the stability of the wind power injected into the power grid, a short-term wind speed predicting model is proposed in this work, named VMD-P-(ARIMA...

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Bibliographic Details
Main Authors: Wei Sun, Qi Gao
Format: Article
Language:English
Published: MDPI AG 2019-06-01
Series:Energies
Subjects:
short-term wind speed production
variational mode decomposition
phase space reconstruction
autoregressive integrated moving average model
back propagation neural network
particle swarm optimization least squares support vector machine
Online Access:https://www.mdpi.com/1996-1073/12/12/2322

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https://www.mdpi.com/1996-1073/12/12/2322

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