Wind turbine wake prediction modelling based on transformer-mixed conditional generative adversarial network-Reference-Cited by-同舟云学术

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Wind turbine wake prediction modelling based on transformer-mixed conditional generative adversarial network

Published:2024-03 Issue: Volume:291 Page:130403
ISSN:0360-5442
Container-title:Energy
language:en
Short-container-title:Energy

Author:

Li Hang,Yang Qingshan,Li Tian^ORCID

Funder

Fundamental Research Funds for the Central Universities

Higher Education Discipline Innovation Project

National Natural Science Foundation of China

Chongqing Municipal Science and Technology Bureau

National Key Research and Development Program of China

China Scholarship Council

Publisher

Elsevier BV

Reference55 articles.

1. Wind farm layout optimization for levelized cost of energy minimization with combined analytical wake model and hybrid optimization strategy;Yang;Energy Convers Manag,2021

2. A data-driven layout optimization framework of large-scale wind farms based on machine learning;Yang;Renew Energy,2023

3. Cooperative yaw control of wind farm using a double-layer machine learning framework;Yang;Renew Energy,2022193519

4. Smart cooperative control scheme for large-scale wind farms based on a double-layer machine learning framework;Yang;Energy Convers Manag,2023

5. A note on wind generator interaction;Jensen,1983

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Coupled analysis of floating offshore wind turbines with new mooring systems by CFD method;Ocean Engineering;2024-11

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