ADEPT: Anomaly Detection, Explanation and Processing for Time Series with a Focus on Energy Consumption Data

Benedikt Tobias Müller, Marvin Ender, Jan Erik Swiadek, Mengcheng Jin, Simon Winkel, Dominik Niedziela, Bin Li, Jelle Hüntelmann, Emmanuel Müller. ADEPT: Anomaly Detection, Explanation and Processing for Time Series with a Focus on Energy Consumption Data. In Massih-Reza Amini, Stéphane Canu, Asja Fischer, Tias Guns, Petra Kralj Novak, Grigorios Tsoumakas, editors, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part VI. Volume 13718 of Lecture Notes in Computer Science, pages 622-626, Springer, 2022. [doi]

@inproceedings{MullerESJWNLHM22,
  title = {ADEPT: Anomaly Detection, Explanation and Processing for Time Series with a Focus on Energy Consumption Data},
  author = {Benedikt Tobias Müller and Marvin Ender and Jan Erik Swiadek and Mengcheng Jin and Simon Winkel and Dominik Niedziela and Bin Li and Jelle Hüntelmann and Emmanuel Müller},
  year = {2022},
  doi = {10.1007/978-3-031-26422-1_43},
  url = {https://doi.org/10.1007/978-3-031-26422-1_43},
  researchr = {https://researchr.org/publication/MullerESJWNLHM22},
  cites = {0},
  citedby = {0},
  pages = {622-626},
  booktitle = {Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part VI},
  editor = {Massih-Reza Amini and Stéphane Canu and Asja Fischer and Tias Guns and Petra Kralj Novak and Grigorios Tsoumakas},
  volume = {13718},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-26422-1},
}