PowerCast: Mining and Forecasting Power Grid Sequences

PowerCast: Mining and Forecasting Power Grid Sequences. Song, H. A., Hooi, B., Jereminov, M., Pandey, A., Pileggi, L. T., & Faloutsos, C. In Ceci, M., Hollmén, J., Todorovski, L., Vens, C., & Dzeroski, S., editors, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part II, volume 10535, of Lecture Notes in Computer Science, pages 606–621, 2017. Springer.

Paper doi bibtex

@inproceedings{DBLP:conf/pkdd/SongHJPPF17,
  author       = {Hyun Ah Song and
                  Bryan Hooi and
                  Marko Jereminov and
                  Amritanshu Pandey and
                  Larry T. Pileggi and
                  Christos Faloutsos},
  editor       = {Michelangelo Ceci and
                  Jaakko Hollm{\'{e}}n and
                  Ljupco Todorovski and
                  Celine Vens and
                  Saso Dzeroski},
  title        = {PowerCast: Mining and Forecasting Power Grid Sequences},
  booktitle    = {Machine Learning and Knowledge Discovery in Databases - European Conference,
                  {ECML} {PKDD} 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings,
                  Part {II}},
  series       = {Lecture Notes in Computer Science},
  volume       = {10535},
  pages        = {606--621},
  publisher    = {Springer},
  year         = {2017},
  url          = {https://doi.org/10.1007/978-3-319-71246-8\_37},
  doi          = {10.1007/978-3-319-71246-8\_37},
  timestamp    = {Thu, 14 Oct 2021 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/pkdd/SongHJPPF17.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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