Litcius/Paper detail

A data-driven approach to microgrid fault detection and classification using Taguchi-optimized CNNs and wavelet transform

Paúl Arévalo, Antonio Caño, Olena Fedoseienko, Francisco Jurado

2024Applied Soft Computing20 citationsDOI

Topics & Concepts

MicrogridComputer sciencePattern recognition (psychology)Taguchi methodsArtificial intelligenceFault detection and isolationDiscrete wavelet transformWaveletWavelet transformFault (geology)Data miningMachine learningActuatorGeologySeismologyControl (management)Power Systems Fault DetectionIslanding Detection in Power SystemsSmart Grid Security and Resilience
A data-driven approach to microgrid fault detection and classification using Taguchi-optimized CNNs and wavelet transform | Litcius