Big Data Techniques For Supporting Accurate Predictions of Energy Production From Renewable Sources. Ceci, M., Corizzo, R., Fumarola, F., Ianni, M., Malerba, D., Maria, G., Masciari, E., Oliverio, M., & Rashkovska, A. In Proceedings of International Database Engineering and Applications Symposium (IDEAS), pages 62-71, 2015.
Big Data Techniques For Supporting Accurate Predictions of Energy Production From Renewable Sources [link]Paper  bibtex   
@inproceedings{ dblp1656763,
  title = {Big Data Techniques For Supporting Accurate Predictions of Energy Production From Renewable Sources},
  author = {Michelangelo Ceci and Roberto Corizzo and Fabio Fumarola and Michele Ianni and Donato Malerba and Gaspare Maria and Elio Masciari and Marco Oliverio and Aleksandra Rashkovska},
  author_short = {Ceci, M. and Corizzo, R. and Fumarola, F. and Ianni, M. and Malerba, D. and Maria, G. and Masciari, E. and Oliverio, M. and Rashkovska, A.},
  bibtype = {inproceedings},
  type = {inproceedings},
  year = {2015},
  key = {dblp1656763},
  id = {dblp1656763},
  biburl = {http://www.dblp.org/rec/bibtex/conf/ideas/CeciCFIMMMOR15},
  url = {http://doi.acm.org/10.1145/2790755.2790762},
  conference = {IDEAS},
  pages = {62-71},
  text = {IDEAS 2015:62-71},
  booktitle = {Proceedings of International Database Engineering and Applications Symposium (IDEAS)}
}

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