Support Vector Machine

Fault Identification of Photovoltaic Array Based on Machine Learning Classifiers

1 min read · Mon, Dec 13 2021

machine learning photovoltaics decision trees Support Vector Machine

The Solar Photovoltaic (PV) industry has experienced significant growth over the past years due to the technology’s clear economic and environmental benefits. The world’s net electricity generation from grid-connected PV systems is expected to rise. Although PV systems don’t incorporate moving parts and usually require low maintenance, they are still subjected to diverse faults across the various system components. Proper fault detection and/or identification is thus necessary to avoid significant energy generation loss and large capital expenditures. Fault identification in Photovoltaic array