KNM is a new unsupervised kernel-based method for fault detection in PV systems that achieves higher accuracy than standard benchmarks like OCSVM, iForest, and LOF on sensor faults and partial shading scenarios.
Data-driven green energy extraction: Machine learning-based mppt control with efficient fault detection method for the hybrid pv-teg system.Energy Reports, 9:3604–3623, 2023
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An unsupervised kernel norm monitoring for fault detection in a time series photovoltaic system
KNM is a new unsupervised kernel-based method for fault detection in PV systems that achieves higher accuracy than standard benchmarks like OCSVM, iForest, and LOF on sensor faults and partial shading scenarios.