Hybrid Forecasting Model for Short-Term Wind Power Prediction Using Modified Long Short-Term Memory

Hybrid Forecasting Model for Short-Term Wind Power Prediction Using Modified Long Short-Term Memory

Renewable energy has recently gained considerable attention. In particular, the interest in wind energy is rapidly growing globally. However, the characteristics of instability and volatility in wind energy systems also affect power systems significantly. To address these issues, many studies have b...

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Bibliographic Details
Main Authors: Namrye Son, Seunghak Yang, Jeongseung Na
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Energies
Subjects:
wind power prediction
multivariate models
hybrid model
long short-term memory
Online Access:https://www.mdpi.com/1996-1073/12/20/3901

Internet

https://www.mdpi.com/1996-1073/12/20/3901

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