Regression Methods for Detecting Anomalies in Flue Gas Desulphurization Installations in Coal-Fired Power Plants Based on Sensor Data

Marek Moleda, Alina Momot, Dariusz Mrozek. Regression Methods for Detecting Anomalies in Flue Gas Desulphurization Installations in Coal-Fired Power Plants Based on Sensor Data. In Valeria V. Krzhizhanovskaya, Gábor Závodszky, Michael Harold Lees, Jack J. Dongarra, Peter M. A. Sloot, Sérgio Brissos, João Teixeira, editors, Computational Science - ICCS 2020 - 20th International Conference, Amsterdam, The Netherlands, June 3-5, 2020, Proceedings, Part V. Volume 12141 of Lecture Notes in Computer Science, pages 316-329, Springer, 2020. [doi]

@inproceedings{MoledaMM20-0,
  title = {Regression Methods for Detecting Anomalies in Flue Gas Desulphurization Installations in Coal-Fired Power Plants Based on Sensor Data},
  author = {Marek Moleda and Alina Momot and Dariusz Mrozek},
  year = {2020},
  doi = {10.1007/978-3-030-50426-7_24},
  url = {https://doi.org/10.1007/978-3-030-50426-7_24},
  researchr = {https://researchr.org/publication/MoledaMM20-0},
  cites = {0},
  citedby = {0},
  pages = {316-329},
  booktitle = {Computational Science - ICCS 2020 - 20th International Conference, Amsterdam, The Netherlands, June 3-5, 2020, Proceedings, Part V},
  editor = {Valeria V. Krzhizhanovskaya and Gábor Závodszky and Michael Harold Lees and Jack J. Dongarra and Peter M. A. Sloot and Sérgio Brissos and João Teixeira},
  volume = {12141},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-50426-7},
}