A clustering-based rule-mining approach for monitoring long-term energy use and understanding system behavior

Seyed Hamid Mirebrahim, Mohammad Shokoohi-Yekta, Unmesh Kurup, Torsten Welfonder, Mohak Shah. A clustering-based rule-mining approach for monitoring long-term energy use and understanding system behavior. In Kamin Whitehouse, Prabal Dutta, Hae Young Noh, editors, Proceedings of the 4th ACM International Conference on Systems for Energy-Efficient Built Environments, BuildSys 2017, Delft, The Netherlands, November 08-09, 2017. ACM, 2017. [doi]

@inproceedings{MirebrahimSKWS17,
  title = {A clustering-based rule-mining approach for monitoring long-term energy use and understanding system behavior},
  author = {Seyed Hamid Mirebrahim and Mohammad Shokoohi-Yekta and Unmesh Kurup and Torsten Welfonder and Mohak Shah},
  year = {2017},
  doi = {10.1145/3137133.3137144},
  url = {http://doi.acm.org/10.1145/3137133.3137144},
  researchr = {https://researchr.org/publication/MirebrahimSKWS17},
  cites = {0},
  citedby = {0},
  booktitle = {Proceedings of the 4th ACM International Conference on Systems for Energy-Efficient Built Environments, BuildSys 2017, Delft, The Netherlands, November 08-09, 2017},
  editor = {Kamin Whitehouse and Prabal Dutta and Hae Young Noh},
  publisher = {ACM},
}