Dropout and Pruned Neural Networks for Fault Classification in Photovoltaic Arrays

Automatic detection of solar array faults reduces maintenance costs and increases efficiency. In this paper, we address the problem of fault detection, localization, and classification in utility-scale photovoltaic (PV) arrays using machine learning methods. More specifically, we develop a series of...

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Principais autores:	Sunil Rao, Gowtham Muniraju, Cihan Tepedelenlioglu, Devarajan Srinivasan, Govindasamy Tamizhmani, Andreas Spanias
格式:	Artigo
语言:	Inglês
出版:	IEEE 2021-01-01
丛编:	IEEE Access
主题:	Dropout neural networks machine learning photovoltaic panel fault detection pruned neural networks solar array fault classification
在线阅读:	https://ieeexplore.ieee.org/document/9525102/
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