An Ultra‐Short‐Term Multi‐Step Prediction Model for Wind Power Based on Sparrow Search Algorithm, Variational Mode Decomposition, Gated Recurrent Unit, and Support Vector Regression

An Ultra‐Short‐Term Multi‐Step Prediction Model for Wind Power Based on Sparrow Search Algorithm, Variational Mode Decomposition, Gated Recurrent Unit, and Support Vector Regression

ABSTRACT Accurate ultra‐short‐term wind power prediction techniques are crucial for ensuring the efficient and safe operation of wind farms and power systems. Combined models based on data decomposition‐prediction techniques have shown excellent performance in ultra‐short‐term wind power forecasting...

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Bibliographic Details
Main Authors: Yulong Chen, Xue Hu, Xiaoming Liu, Lixin Zhang
Format: Article
Language:English
Published: Wiley 2024-11-01
Series:Energy Science & Engineering
Subjects:
combined forecasting model
gated recurrent unit
support vector regression
ultra‐short‐term forecasting
variational mode decomposition
Online Access:https://doi.org/10.1002/ese3.1931
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https://doi.org/10.1002/ese3.1931

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