Fault-Detection-in-DC-microgrids

Public

Using DIgSILENT, a smart-grid case study was designed for data collection, followed by feature extraction using FFT and DWT. Post-extraction, feature selection. CNN-based and extensive machine learning techniques were then applied for fault detection.

anova-analysis cnn data-augmentation digsilent dwt feature-selection fft grid-search-hyperparameters linear-discriminant-analysis mutual-information

Creat：2023-09-03T11:56:04

Update：2025-02-24T21:18:21

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