Using enhanced Variational Modal Decomposition and Dung Beetle Optimization Algorithm optimization-kernel Extreme Learning Machine model to forecast short-term wind power

Author:

You Guo-Dong,Chang Zhen-Cheng,Li Xing-Yun,Liu Zhi-Feng,Xiao Zi-Yue,Lu Yu-Ran,Zhao Shuangle

Publisher

Elsevier BV

Reference34 articles.

1. Application of autoregressive dynamic adaptive (ARDA) model in real-time wind power forecasting;Zhang;Renew Energy,2021

2. A short-term wind power prediction model based on CEEMD and WOA-KELM;Ding;Renew Energy,2022

3. On integration of wind power into existing grids via modular multilevel converter based HVDC systems;Husain;Int. J. Renewable Energy Res. (IJRER),2020

4. A gated recurrent unit neural networks based wind speed error correction model for short-term wind power forecasting;Ding;Neurocomputing,2019

5. New hybrid deep neural architectural search-based ensemble reinforcement learning strategy for wind power forecasting;Jalali;IEEE Trans. Ind. Appl.,2022

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