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Title: Practical limits to the use of non-intrusive load monitoring in commercial buildings

Journal Article · · Energy and Buildings

Not Available

Sponsoring Organization:
USDOE
Grant/Contract Number:
AC02-05CH11231; AC02-05CH11231
OSTI ID:
1810587
Journal Information:
Energy and Buildings, Journal Name: Energy and Buildings Journal Issue: C Vol. 251; ISSN 0378-7788
Publisher:
ElsevierCopyright Statement
Country of Publication:
Netherlands
Language:
English

References (14)

Non-intrusive electrical load monitoring in commercial buildings based on steady-state and transient load-detection algorithms journal January 1996
Unsupervised approach for load disaggregation with devices interactions journal March 2016
An enhanced ISODATA algorithm for recognizing multiple electric appliances from the aggregated power consumption dataset journal April 2017
A generative model for non-Intrusive load monitoring in commercial buildings journal October 2018
The ENERTALK dataset, 15 Hz electricity consumption data from 22 houses in Korea journal October 2019
Nonintrusive appliance load monitoring journal January 1992
Enhancing Electricity Audits in Residential Buildings with Nonintrusive Load Monitoring journal October 2010
Unsupervised Disaggregation of Low Frequency Power Measurements conference December 2013
ElectriSense: single-point sensing using EMI for electrical event detection and classification in the home
  • Gupta, Sidhant; Reynolds, Matthew S.; Patel, Shwetak N.
  • Ubicomp '10: The 2010 ACM Conference on Ubiquitous Computing, Proceedings of the 12th ACM international conference on Ubiquitous computing https://doi.org/10.1145/1864349.1864375
conference September 2010
Towards reproducible state-of-the-art energy disaggregation
  • Batra, Nipun; Kukunuri, Rithwik; Pandey, Ayush
  • BuildSys '19: The 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation https://doi.org/10.1145/3360322.3360844
conference November 2019
NILM based Energy Disaggregation Algorithm for Dairy Farms
  • Yadav, Akhilesh; Sinha, Anuj; Saidi, Abdessamad
  • BuildSys '20: The 7th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, Proceedings of the 5th International Workshop on Non-Intrusive Load Monitoring https://doi.org/10.1145/3427771.3427846
conference November 2020
Energy Disaggregation for Small and Medium Businesses and their Operational Characteristics
  • Srivastava, Abhinav; Tehria, Paras; Pandey, Basant K.
  • BuildSys '20: The 7th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, Proceedings of the 5th International Workshop on Non-Intrusive Load Monitoring https://doi.org/10.1145/3427771.3427854
conference November 2020
On the Impact of the Sequence Length on Sequence-to-Sequence and Sequence-to-Point Learning for NILM
  • Reinhardt, Andreas; Bouchur, Mazen
  • BuildSys '20: The 7th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, Proceedings of the 5th International Workshop on Non-Intrusive Load Monitoring https://doi.org/10.1145/3427771.3427857
conference November 2020
UNet-NILM: A Deep Neural Network for Multi-tasks Appliances State Detection and Power Estimation in NILM
  • Faustine, Anthony; Pereira, Lucas; Bousbiat, Hafsa
  • BuildSys '20: The 7th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, Proceedings of the 5th International Workshop on Non-Intrusive Load Monitoring https://doi.org/10.1145/3427771.3427859
conference November 2020

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