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

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