Very short-term solar forecasting using multi-agent system based on Extreme Learning Machines and data clustering

Carlos Severiano, Frederico Gadelha GuimarĂ£es, Miri Weiss-Cohen. Very short-term solar forecasting using multi-agent system based on Extreme Learning Machines and data clustering. In 2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016, Athens, Greece, December 6-9, 2016. pages 1-8, IEEE, 2016. [doi]

@inproceedings{SeverianoGC16,
  title = {Very short-term solar forecasting using multi-agent system based on Extreme Learning Machines and data clustering},
  author = {Carlos Severiano and Frederico Gadelha GuimarĂ£es and Miri Weiss-Cohen},
  year = {2016},
  doi = {10.1109/SSCI.2016.7850162},
  url = {http://dx.doi.org/10.1109/SSCI.2016.7850162},
  researchr = {https://researchr.org/publication/SeverianoGC16},
  cites = {0},
  citedby = {0},
  pages = {1-8},
  booktitle = {2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016, Athens, Greece, December 6-9, 2016},
  publisher = {IEEE},
  isbn = {978-1-5090-4240-1},
}