Unsupervised Anomaly Detection in Energy Time Series Data Using Variational Recurrent Autoencoders with Attention.

João Pereira Margarida Silveira

Published in: ICMLA (2018)

Keyphrases

unsupervised anomaly detection
anomaly detection
semi supervised
intrusion detection
denoising
image segmentation
energy consumption
energy minimization
variational methods
image processing
training data
graphical models
pattern mining
visual attention
recurrent neural networks