Ultra-short term wind power prediction based on quadratic variational mode decomposition and multi-model fusion of deep learning-Reference-Cited by-同舟云学术

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Ultra-short term wind power prediction based on quadratic variational mode decomposition and multi-model fusion of deep learning

Published:2024-05 Issue: Volume:116 Page:109157
ISSN:0045-7906
Container-title:Computers and Electrical Engineering
language:en
Short-container-title:Computers and Electrical Engineering

Author:

Chen Changqing^ORCID,Li Shichun,Wen Ming,Yu Zongchao

Publisher

Elsevier BV

Reference21 articles.

1. Current methods and advances in prediction of wind power generation;Foley;Renew Energy,2012

2. Local-pattern-aware forecast of regional wind power: adaptive partition and long-short-term matching;Liu;Energy Convers Manag,2021

3. Day-ahead wind power prediction based on the clustering of equivalent power curves;Yang;Energy,2021

4. Clustering-based coordinated control of large-scale wind farm for power system frequency support;Ma;IEEE Transact Sustain Energy,2018

5. Investigating the wind power smoothing effect using set pair analysis;Yang;IEEE Transact Sustain Energy,2020

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Nonlinear group constrained mode decomposition and its application in gear fault diagnosis;Measurement Science and Technology;2024-09-02

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