A hybrid model for wind speed prediction using empirical mode decomposition and artificial neural networks

H Liu, Chao Chen, Hong-Qi Tian, Yan-fei Li

Research output: Contribution to journalArticleResearchpeer-review

Original languageEnglish
Pages (from-to)545 - 556
Number of pages12
JournalRenewable Energy
Volume48
DOIs
Publication statusPublished - 2012

Cite this

@article{18e79878df774abd8be6bee70236a322,
title = "A hybrid model for wind speed prediction using empirical mode decomposition and artificial neural networks",
author = "H Liu and Chao Chen and Hong-Qi Tian and Yan-fei Li",
year = "2012",
doi = "10.1016/j.renene.2012.06.012",
language = "English",
volume = "48",
pages = "545 -- 556",
journal = "Renewable Energy",
issn = "0960-1481",
publisher = "Elsevier",

}

A hybrid model for wind speed prediction using empirical mode decomposition and artificial neural networks. / Liu, H; Chen, Chao; Tian, Hong-Qi; Li, Yan-fei.

In: Renewable Energy, Vol. 48, 2012, p. 545 - 556.

Research output: Contribution to journalArticleResearchpeer-review

TY - JOUR

T1 - A hybrid model for wind speed prediction using empirical mode decomposition and artificial neural networks

AU - Liu, H

AU - Chen, Chao

AU - Tian, Hong-Qi

AU - Li, Yan-fei

PY - 2012

Y1 - 2012

U2 - 10.1016/j.renene.2012.06.012

DO - 10.1016/j.renene.2012.06.012

M3 - Article

VL - 48

SP - 545

EP - 556

JO - Renewable Energy

JF - Renewable Energy

SN - 0960-1481

ER -