Condition classification and performance of mismatched photovoltaic arrays via a pre-filtered Elman neural network decision making tool
Abstract
Photovoltaic array systems operated in harsh and versatile environments generate complex nonlinear characteristics due to various mismatched phenomena, which undermines the system performance unprecedentedly and challenges the existing monitoring technologies. To this end, a class of modern data acquisition and smart condition monitoring systems are introduced with the advanced technologies such as sensor networks, smart combiner boxes and smart...
Paper Details
Title
Condition classification and performance of mismatched photovoltaic arrays via a pre-filtered Elman neural network decision making tool
Published Date
Oct 1, 2018
Journal
Volume
173
Pages
1011 - 1024
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