Scalable Forecasting Techniques Applied to Big Electricity Time Series

Antonio Galicia, José F. Torres, Francisco Martínez-Álvarez, Alicia Troncoso. Scalable Forecasting Techniques Applied to Big Electricity Time Series. In Ignacio Rojas, Gonzalo Joya, Andreu Català, editors, Advances in Computational Intelligence - 14th International Work-Conference on Artificial Neural Networks, IWANN 2017, Cadiz, Spain, June 14-16, 2017, Proceedings, Part II. Volume 10306 of Lecture Notes in Computer Science, pages 165-175, Springer, 2017. [doi]

@inproceedings{GaliciaTMT17,
  title = {Scalable Forecasting Techniques Applied to Big Electricity Time Series},
  author = {Antonio Galicia and José F. Torres and Francisco Martínez-Álvarez and Alicia Troncoso},
  year = {2017},
  doi = {10.1007/978-3-319-59147-6_15},
  url = {https://doi.org/10.1007/978-3-319-59147-6_15},
  researchr = {https://researchr.org/publication/GaliciaTMT17},
  cites = {0},
  citedby = {0},
  pages = {165-175},
  booktitle = {Advances in Computational Intelligence - 14th International Work-Conference on Artificial Neural Networks, IWANN 2017, Cadiz, Spain, June 14-16, 2017, Proceedings, Part II},
  editor = {Ignacio Rojas and Gonzalo Joya and Andreu Català},
  volume = {10306},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-59147-6},
}