Enhancing short-term wind speed prediction based on an outlier-robust ensemble deep random vector functional link network with AOA-optimized VMD-Reference-Cited by-同舟云学术

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Enhancing short-term wind speed prediction based on an outlier-robust ensemble deep random vector functional link network with AOA-optimized VMD

Published:2024-06 Issue: Volume:296 Page:131173
ISSN:0360-5442
Container-title:Energy
language:en
Short-container-title:Energy

Author:

Zhang Chu,Li Zhengbo,Ge Yida,Liu Qianlong,Suo Leiming,Song Shihao,Peng Tian^ORCID

Publisher

Elsevier BV

Reference41 articles.

1. A maximum power point tracking method for PV system with improved gravitational search algorithm;Li;Appl Soft Comput,2018

2. Multi-branch wind power prediction based on optimized variational mode decomposition;Xiong;Energy Rep,2022

3. Wind power ultra-short-term prediction method based on NWP wind speed correction and double clustering division of transitional weather process;Yang;Energy,2023

4. Wind speed forecasting based on the hybrid ensemble empirical mode decomposition and GA-BP neural network method;Wang;Renew Energy,2016

5. An experimental investigation of three new hybrid wind speed forecasting models using multi-decomposing strategy and ELM algorithm;Liu;Renew Energy,2018

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