Di, Zhenhua
Ao, Juan
Duan, Qingyun https://orcid.org/0000-0001-9955-1512
Wang, Jin
Gong, Wei https://orcid.org/0000-0003-3622-7090
Shen, Chenwei
Gan, Yanjun
Liu, Zhao
Funding for this research was provided by:
Ministry of Science and Technology (IUMKY201603)
Strategic Priority Research Program of the Chinese Academy of Sciences (XDA19070104)
Strategic Priority Research Program of the Chinese Academy of Sciences (XDA20060401)
International S&T Innovation Cooperation Program (2016YFE0102400)
Meteorological Scientific Research (GYHY201506002)
National Basic Research Program of China (2015CB953703)
Natural Science Foundation of China (41305052)
This article is maintained by: Elsevier
Article Title: Improving WRF model turbine-height wind-speed forecasting using a surrogate- based automatic optimization method
Journal Title: Atmospheric Research
CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.atmosres.2019.04.011
Content Type: article
Copyright: © 2019 Published by Elsevier B.V.