Region-Based Convolutional Neural Network for Wind Turbine Wake Characterization in Complex Terrain

Region-Based Convolutional Neural Network for Wind Turbine Wake Characterization in Complex Terrain

We present a proof of concept of wind turbine wake identification and characterization using a region-based convolutional neural network (CNN) applied to lidar arc scan images taken at a wind farm in complex terrain. We show that the CNN successfully identifies and characterizes wakes in scans with...

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Detalles Bibliográficos
Autores principales: Jeanie A. Aird, Eliot W. Quon, Rebecca J. Barthelmie, Mithu Debnath, Paula Doubrawa, Sara C. Pryor
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
convolutional neural network
wind turbine wakes
lidar
image processing
wake characterization
complex terrain
Science
Q
Acceso en línea:https://doaj.org/article/36772c8fdc2b464cb6bde6b1ac612052
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https://doaj.org/article/36772c8fdc2b464cb6bde6b1ac612052

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