GREEND: An energy consumption dataset of households in Italy and Austria

  title={GREEND: An energy consumption dataset of households in Italy and Austria},
  author={Andrea Monacchi and Dominik Egarter and W. Elmenreich and S. D'Alessandro and A. Tonello},
  journal={2014 IEEE International Conference on Smart Grid Communications (SmartGridComm)},
  • Andrea Monacchi, Dominik Egarter, +2 authors A. Tonello
  • Published 2014
  • Engineering, Computer Science
  • 2014 IEEE International Conference on Smart Grid Communications (SmartGridComm)
  • Home energy management systems can be used to monitor and optimize consumption and local production from renewable energy. [...] Key Method We provide a description of consumption scenarios and discuss design choices for the sensing infrastructure. Finally, we benchmark the dataset with state-of-the-art techniques in load disaggregation, occupancy detection and appliance usage mining.Expand Abstract
    107 Citations
    PRECON: Pakistan Residential Electricity Consumption Dataset
    • 3
    I-BLEND, a campus-scale commercial and residential buildings electrical energy dataset
    • 9
    • PDF


    Disaggregation of home energy display data using probabilistic approach
    • Michael Zeifman
    • Engineering, Computer Science
    • IEEE Transactions on Consumer Electronics
    • 2012
    • 127
    REDD : A Public Data Set for Energy Disaggregation Research
    • 819
    • Highly Influential
    • PDF
    It's Different: Insights into home energy consumption in India
    • 106
    • PDF
    PALDi: Online Load Disaggregation via Particle Filtering
    • 112
    • PDF
    Occupancy Detection from Electricity Consumption Data
    • 192
    • PDF
    AMPds: A public dataset for load disaggregation and eco-feedback research
    • 216
    • PDF
    Is disaggregation the holy grail of energy efficiency? The case of electricity
    • 437
    • PDF
    Metadata for Energy Disaggregation
    • J. Kelly, W. Knottenbelt
    • Computer Science
    • 2014 IEEE 38th International Computer Software and Applications Conference Workshops
    • 2014
    • 43
    • PDF
    Demand Side Management: Demand Response, Intelligent Energy Systems, and Smart Loads
    • 2,125
    • PDF