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

Müller et al. "ADEPT: Anomaly Detection, Explanation and Processing for Time Series with a Focus on Energy Consumption Data." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022. doi:10.1007/978-3-031-26422-1_43

[Müller et al. "ADEPT: Anomaly Detection, Explanation and Processing for Time Series with a Focus on Energy Consumption Data." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2022.](https://mlanthology.org/ecmlpkdd/2022/muller2022ecmlpkdd-adept/) doi:10.1007/978-3-031-26422-1_43

@inproceedings{muller2022ecmlpkdd-adept,
  title     = {{ADEPT: Anomaly Detection, Explanation and Processing for Time Series with a Focus on Energy Consumption Data}},
  author    = {Müller, Benedikt Tobias and Ender, Marvin and Swiadek, Jan Erik and Jin, Mengcheng and Winkel, Simon and Niedziela, Dominik and Li, Bin and Hüntelmann, Jelle and Müller, Emmanuel},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2022},
  pages     = {622-626},
  doi       = {10.1007/978-3-031-26422-1_43},
  url       = {https://mlanthology.org/ecmlpkdd/2022/muller2022ecmlpkdd-adept/}
}