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Enhancing anomaly detection methods for energy time series using latent space data representations.

Marian TurowskiBenedikt HeidrichKaleb PhippsKai SchmiederOliver NeumannRalf MikutVeit Hagenmeyer
Published in: e-Energy (2022)
Keyphrases
  • anomaly detection
  • data representations
  • data representation
  • neural network
  • feature extraction
  • pairwise
  • support vector machine
  • dimensionality reduction
  • graphical models