Improving WRF model turbine-height wind-speed forecasting using a surrogate- based automatic optimization method-Reference-Cited by-同舟云学术

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Improving WRF model turbine-height wind-speed forecasting using a surrogate- based automatic optimization method

Published:2019-09 Issue: Volume:226 Page:1-16
ISSN:0169-8095
Container-title:Atmospheric Research
language:en
Short-container-title:Atmospheric Research

Author:

Di Zhenhua,Ao Juan,Duan Qingyun^ORCID,Wang Jin,Gong Wei^ORCID,Shen Chenwei,Gan Yanjun,Liu Zhao

Funder

Ministry of Science and Technology

Strategic Priority Research Program of the Chinese Academy of Sciences

International S&T Innovation Cooperation Program

Meteorological Scientific Research

National Basic Research Program of China

Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Atmospheric Science

Reference53 articles.

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3. Short-term wind prediction using Kalman filters;Bossanyi;Wind Eng.,1985

4. Coupling an advanced land surface–hydrology model with the Penn State–NCAR MM5 modeling system part I: model implementation and sensitivity;Chen;Mon. Weather Rev.,2001

5. A fast and elitist multiobjective genetic algorithm: NSGA-II;Deb;IEEE T. Evolut. Comput.,2002

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