Improved $k$NN-Based Monitoring Schemes for Detecting Faults in PV Systems

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...