Original paper
Improved $k$NN-Based Monitoring Schemes for Detecting Faults in PV Systems
Abstract
This paper presents a model-based anomaly detection method for supervising the direct current (dc) side of photovoltaic (PV) systems. Toward this end, a framework combining the benefits of k-nearest neighbors (kNN) with univariate monitoring approaches has been proposed. Specifically, kNN-based Shewhart and exponentially weighted moving average (EWMA) schemes with parametric and nonparametric thresholds have been introduced to suitably detect...
Paper Details
Title
Improved $k$NN-Based Monitoring Schemes for Detecting Faults in PV Systems
Published Date
May 1, 2019
Volume
9
Issue
3
Pages
811 - 821
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