Machine Learning Approaches to Electricity Consumption Forecasting in Automated Metering Infrastructure (AMI) Systems: An Empirical Study

A. Jayanth Balaji, D. S. Harish Ram, Binoy B. Nair. Machine Learning Approaches to Electricity Consumption Forecasting in Automated Metering Infrastructure (AMI) Systems: An Empirical Study. In Radek Silhavy, Roman Senkerik, Zuzana Komínková Oplatková, Zdenka Prokopova, Petr Silhavy, editors, Cybernetics and Mathematics Applications in Intelligent Systems - Proceedings of the 6th Computer Science On-line Conference 2017 (CSOC2017), Vol 2. Volume 574 of Advances in Intelligent Systems and Computing, pages 254-263, 2017. [doi]

@inproceedings{BalajiRN17,
  title = {Machine Learning Approaches to Electricity Consumption Forecasting in Automated Metering Infrastructure (AMI) Systems: An Empirical Study},
  author = {A. Jayanth Balaji and D. S. Harish Ram and Binoy B. Nair},
  year = {2017},
  doi = {10.1007/978-3-319-57264-2_26},
  url = {http://dx.doi.org/10.1007/978-3-319-57264-2_26},
  researchr = {https://researchr.org/publication/BalajiRN17},
  cites = {0},
  citedby = {0},
  pages = {254-263},
  booktitle = {Cybernetics and Mathematics Applications in Intelligent Systems - Proceedings of the 6th Computer Science On-line Conference 2017 (CSOC2017), Vol 2},
  editor = {Radek Silhavy and Roman Senkerik and Zuzana Komínková Oplatková and Zdenka Prokopova and Petr Silhavy},
  volume = {574},
  series = {Advances in Intelligent Systems and Computing},
  isbn = {978-3-319-57264-2},
}