Label-Free Fault Detection Scheme for Inverters of PV Systems: Deep Reinforcement Learning-Based Dynamic Threshold

Label-Free Fault Detection Scheme for Inverters of PV Systems: Deep Reinforcement Learning-Based Dynamic Threshold

Generally, photovoltaic (PV) fault detection approaches can be divided into two groups: end-to-end and threshold methods. The end-to-end method typically uses a deep neural network (DNN) to learn fault patterns from labeled datasets, which directly detect whether faults occur or not. The threshold m...

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Bibliographic Details
Main Authors: Giup Seo, Seungwook Yoon, Junyoung Song, Ekta Srivastava, Euiseok Hwang
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Applied Sciences
Subjects:
label-free fault detection
photovoltaic systems
deep reinforcement learning
dynamic threshold
Online Access:https://www.mdpi.com/2076-3417/13/4/2470

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https://www.mdpi.com/2076-3417/13/4/2470

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