Using IoT Data-Driven Analysis of Water Consumption to support Design for Sustainable Behaviour during the COVID-19 Pandemic. Zecchini, M., Griesi, A. A., Chatzigiannakis, I., Mavrommati, I., Amaxilatis, D., & Akrivopoulos, O. In 6th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference, SEEDA-CECNSM 2021, Preveza, Greece, September 24-26, 2021, pages 1–7, 2021. IEEE.
Using IoT Data-Driven Analysis of Water Consumption to support Design for Sustainable Behaviour during the COVID-19 Pandemic [link]Paper  doi  bibtex   
@inproceedings{DBLP:conf/seeda/ZecchiniGCMAA21,
  author       = {Marco Zecchini and
                  Alessandra Anna Griesi and
                  Ioannis Chatzigiannakis and
                  Irene Mavrommati and
                  Dimitrios Amaxilatis and
                  Orestis Akrivopoulos},
  title        = {Using IoT Data-Driven Analysis of Water Consumption to support Design
                  for Sustainable Behaviour during the {COVID-19} Pandemic},
  booktitle    = {6th South-East Europe Design Automation, Computer Engineering, Computer
                  Networks and Social Media Conference, {SEEDA-CECNSM} 2021, Preveza,
                  Greece, September 24-26, 2021},
  pages        = {1--7},
  publisher    = {{IEEE}},
  year         = {2021},
  url          = {https://doi.org/10.1109/SEEDA-CECNSM53056.2021.9566237},
  doi          = {10.1109/SEEDA-CECNSM53056.2021.9566237},
  timestamp    = {Sat, 09 Apr 2022 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/conf/seeda/ZecchiniGCMAA21.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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