Employing Private Data in AMI Applications: Short Term Load Forecasting Using Differentially Private Aggregated Data

Valentin Tudor, Magnus Almgren, Marina Papatriantafilou. Employing Private Data in AMI Applications: Short Term Load Forecasting Using Differentially Private Aggregated Data. In 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People, and Smart World Congress (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld), Toulouse, France, July 18-21, 2016. pages 404-413, IEEE, 2016. [doi]

@inproceedings{TudorAP16,
  title = {Employing Private Data in AMI Applications: Short Term Load Forecasting Using Differentially Private Aggregated Data},
  author = {Valentin Tudor and Magnus Almgren and Marina Papatriantafilou},
  year = {2016},
  doi = {10.1109/UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld.2016.0076},
  url = {http://doi.ieeecomputersociety.org/10.1109/UIC-ATC-ScalCom-CBDCom-IoP-SmartWorld.2016.0076},
  researchr = {https://researchr.org/publication/TudorAP16},
  cites = {0},
  citedby = {0},
  pages = {404-413},
  booktitle = {2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People, and Smart World Congress (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld), Toulouse, France, July 18-21, 2016},
  publisher = {IEEE},
  isbn = {978-1-5090-2771-2},
}