@article{ zoha_non-intrusive_2012,
  title = {Non-Intrusive Load Monitoring Approaches for Disaggregated Energy Sensing: A Survey},
  volume = {12},
  copyright = {http://creativecommons.org/licenses/by/3.0/},
  shorttitle = {Non-Intrusive Load Monitoring Approaches for Disaggregated Energy Sensing},
  url = {http://www.mdpi.com/1424-8220/12/12/16838},
  doi = {10.3390/s121216838},
  abstract = {Appliance Load Monitoring ({ALM}) is essential for energy management solutions, allowing them to obtain appliance-specific energy consumption statistics that can further be used to devise load scheduling strategies for optimal energy utilization. Fine-grained energy monitoring can be achieved by deploying smart power outlets on every device of interest; however it incurs extra hardware cost and installation complexity. Non-Intrusive Load Monitoring ({NILM}) is an attractive method for energy disaggregation, as it can discern devices from the aggregated data acquired from a single point of measurement. This paper provides a comprehensive overview of {NILM} system and its associated methods and techniques used for disaggregated energy sensing. We review the state-of-the art load signatures and disaggregation algorithms used for appliance recognition and highlight challenges and future research directions.},
  language = {en},
  number = {12},
  urldate = {2013-12-01TZ},
  journal = {Sensors},
  author = {Zoha, Ahmed and Gluhak, Alexander and Imran, Muhammad Ali and Rajasegarar, Sutharshan},
  month = {December},
  year = {2012},
  keywords = {Intrusive Load Monitoring ({ILM}), Non-Intrusive Load Monitoring ({NILM}), disaggregation algorithms, energy management, load signatures},
  pages = {16838--16866}
}

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