A Call for Enhanced Data-Driven Insights into Wind Energy Flow Physics-Reference-Cited by-同舟云学术

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A Call for Enhanced Data-Driven Insights into Wind Energy Flow Physics

Published:2024-01 Issue:1 Volume:14 Page:100488
ISSN:2095-0349
Container-title:Theoretical and Applied Mechanics Letters
language:en
Short-container-title:Theoretical and Applied Mechanics Letters

Author:

Moss Coleman,Maulik Romit,Iungo Giacomo Valerio

Funder

National Science Foundation

Publisher

Elsevier BV

Subject

Mechanical Engineering,Mechanics of Materials,Ocean Engineering,Aerospace Engineering,Biomedical Engineering,Civil and Structural Engineering,Environmental Engineering,Computational Mechanics

Reference71 articles.

1. National Academy of Engineering, Frontiers of Engineering: Reports on Leading-Edge Engineering from the 2017 Symposium. National Academies Press 2018.

2. Wind turbine condition monitoring by the approach of SCADA data analysis;Yang;Renew. Energy,2013

3. Using SCADA data for wind turbine condition monitoring - a review;Tautz-Weinert;IET Renew. Power Generation,2017

4. Online wind turbine fault detection through automated SCADA data analysis;Zaher;Wind Energy,2009

5. Quantification of power losses due to wind turbine wake interactions through SCADA, meteorological and wind liDAR data;El-Asha;Wind Energy,2017

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. Augmenting insights from wind turbine data through data-driven approaches;Applied Energy;2024-12

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