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.
Short-term forecasting of photovoltaic solar power production using variational auto-encoder driven deep learning approach.Applied Sciences, 10(23):8400, 2020
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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.