Machine learning based surrogate model to analyze wind tunnel experiment data of Darrieus wind turbines-Reference-Cited by-同舟云学术

Machine learning based surrogate model to analyze wind tunnel experiment data of Darrieus wind turbines

Published:2023-09 Issue: Volume:278 Page:127940
ISSN:0360-5442
Container-title:Energy
language:en
Short-container-title:Energy

Author:

Cheng Biyi,Yao Yingxue

Funder

Science and Technology Planning Project of Shenzhen Municipality

Publisher

Elsevier BV

Subject

General Energy,Pollution,Mechanical Engineering,Building and Construction,Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Civil and Structural Engineering

Reference42 articles.

1. Machine learning methods to assist structure design and optimization of Dual Darrieus Wind Turbines;Cheng;Energy,2022

2. Power prediction formula for blade design and optimization of dual darrieus wind turbines based on taguchi method and genetic expression programming model;Cheng,2022

3. Design and optimization of a novel U-type vertical axis wind turbine with response surface and machine learning methodology;Cheng;Energy Convers Manag,2022

4. Experimental investigation of a novel vertical axis wind turbine with pitching and self-starting function;Su;Energy Convers Manag,2020

5. Wind tunnel testing of scaled models of a newly developed Darrieus-style vertical axis wind turbine with auxiliary straight blades;Scungio;Energy Convers Manag,2016

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