Energy Consumption Prediction with Big Data: Balancing Prediction Accuracy and Computational Resources

Katarina Grolinger, Miriam A. M. Capretz, Luke Seewald. Energy Consumption Prediction with Big Data: Balancing Prediction Accuracy and Computational Resources. In Calton Pu, Geoffrey C. Fox, Ernesto Damiani, editors, 2016 IEEE International Congress on Big Data, San Francisco, CA, USA, June 27 - July 2, 2016. pages 157-164, IEEE, 2016. [doi]

@inproceedings{GrolingerCS16,
  title = {Energy Consumption Prediction with Big Data: Balancing Prediction Accuracy and Computational Resources},
  author = {Katarina Grolinger and Miriam A. M. Capretz and Luke Seewald},
  year = {2016},
  doi = {10.1109/BigDataCongress.2016.27},
  url = {http://dx.doi.org/10.1109/BigDataCongress.2016.27},
  researchr = {https://researchr.org/publication/GrolingerCS16},
  cites = {0},
  citedby = {0},
  pages = {157-164},
  booktitle = {2016 IEEE International Congress on Big Data, San Francisco, CA, USA, June 27 - July 2, 2016},
  editor = {Calton Pu and Geoffrey C. Fox and Ernesto Damiani},
  publisher = {IEEE},
  isbn = {978-1-5090-2622-7},
}