Long Short-Term Memory Networks Based Automatic Feature Extraction for Photovoltaic Array Fault Diagnosis

Long Short-Term Memory Networks Based Automatic Feature Extraction for Photovoltaic Array Fault Diagnosis

Photovoltaic (PV) array fault diagnosis is important because it helps reduce energy and revenue losses to PV system operators. It also reduces fire hazards and electric shocks caused by PV array faults. As a result, many machine-learning-based fault diagnosis techniques have been proposed in recent...

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Bibliographic Details
Main Authors: Albert Yaw Appiah, Xinghua Zhang, Ben Beklisi Kwame Ayawli, Frimpong Kyeremeh
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Automatic feature extraction
fault diagnosis
long short-term memory
photovoltaic array
softmax regression
Online Access:https://ieeexplore.ieee.org/document/8660399/

Internet

https://ieeexplore.ieee.org/document/8660399/

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