An Unsupervised Adversarial Autoencoder for Cyber Attack Detection in Power Distribution Grids
收藏DataCite Commons2026-01-07 更新2026-05-05 收录
下载链接：
https://service.tib.eu/ldmservice/dataset/96c8fe9c-6e0a-40c7-8362-4cf555137bfe
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资源简介：
The proposed AAE learning-based approach employs LSTM in the architecture of the autoencoder for capturing the temporal correlation of the grid measurements to reconstruct the input measurement samples and uses two critics to distinguish the generated samples from the real data points.
提供机构：
TIB
创建时间：
2024-12-03
