Wind turbine airfoil noise prediction using dedicated airfoil database and deep learning technology-Reference-Cited by-同舟云学术

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Wind turbine airfoil noise prediction using dedicated airfoil database and deep learning technology

Published:2024-06 Issue: Volume:364 Page:123165
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Yang Han,Yuan Weimin,Zhu Weijun,Sun Zhenye,Zhang Yanru,Zhou Yingjie

Funder

Science and Technology Department of Sichuan Province

Science and Technology Bureau of Chengdu

Shenzhen Science and Technology Innovation Committee

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference69 articles.

1. Low wind speed turbines and wind power potential in Minnesota. USA;Wichser;Renew Energy,2008

2. National laboratory research supporting low wind speed technology[J];Robinson;J Solar Energy Eng-Trans Asme,2002

3. IEC 61400-1: Wind turbines part 1: Design requirements;Commission, I. E,2005

4. Advances in wind energy resource exploitation in urban environment: a review[J];Ishugah;Renew Sustain Energy Rev,2014

5. Health effects of wind turbine noise and road traffic noise on people living near wind turbines[J];Radun;Renew Sustain Energy Rev,2022

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