Graph-Based Semi-supervised Learning for Fault Detection and Classification in Solar Photovoltaic Arrays

Volume: 30, Issue: 5, Pages: 2848 - 2858
Published: May 1, 2015
Abstract
Fault detection in solar photovoltaic (PV) arrays is an essential task for increasing reliability and safety in PV systems. Because of PV's nonlinear characteristics, a variety of faults may be difficult to detect by conventional protection devices, leading to safety issues and fire hazards in PV fields. To fill this protection gap, machine learning techniques have been proposed for fault detection based on measurements, such as PV array...
Paper Details
Title
Graph-Based Semi-supervised Learning for Fault Detection and Classification in Solar Photovoltaic Arrays
Published Date
May 1, 2015
Volume
30
Issue
5
Pages
2848 - 2858
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