NILMTK v0.2: A non-intrusive load monitoring toolkit for large scale data sets

BuildSys 2014 - Proceedings of the 1st ACM Conference on Embedded Systems for Energy-Efficient Buildings

Volumn , Issue , 2014, Pages 182-183

  Kelly, Jack ^a   Batra, Nipun ^b   Parson, Oliver ^c   Dutta, Haimonti ^d   Knottenbelt, William ^a   Rogers, Alex ^c   Singh, Amarjeet ^b   Srivastava, Mani ^e  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b INDRAPRASTHA INSTITUTE OF INFORMATION TECHNOLOGY   (India)

^c UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

^d CCLS Columbia   (Colombia)

^e UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARKING; EMBEDDED SYSTEMS;

DATA SET; DISAGGREGATION; ELECTRICITY-CONSUMPTION; LARGE DATASETS; LARGE SCALE DATA SETS; NONINTRUSIVE LOAD MONITORING; OPEN SOURCES; PUBLIC DATA;

ELECTRIC LOAD MANAGEMENT;

EID: 84915764387     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2674061.2675024     Document Type: Conference Paper

References (8)

1. N. Batra, M. Gulati, A. Singh, and M. B. Srivastava. It's Different: Insights into home energy consumption in India. In Proceedings of the Fifth ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings, 2013.
2. N. Batra, J. Kelly, O. Parson, H. Dutta, W. Knottenbelt, A. Rogers, A. Singh, and M. Srivastava. NILMTK: An Open Source Toolkit for Non-intrusive Load Monitoring. In ACM e-Energy, Cambridge, UK, 2014.
3. N. Batra, O. Parson, M. Berges, A. Singh, and A. Rogers. A comparison of non-intrusive load monitoring methods for commercial and residential buildings. arXiv:1404.3878, 2014.
4. G. W. Hart. Nonintrusive appliance load monitoring. Proceedings of the IEEE, 80(12):1870-1891, 1992.
5. J. Kelly and W. Knottenbelt. Metadata for Energy Disaggregation. In The 2nd IEEE International Workshop on Consumer Devices and Systems (CDS 2014), Västerås, Sweden, July 2014.
6. J. Kelly and W. Knottenbelt. UK-DALE: A dataset recording UK Domestic Appliance-Level Electricity demand and whole-house demand. ArXiv e-prints, 2014.
7. J. Z. Kolter and M. J. Johnson. REDD: A public data set for energy disaggregation research. In SustKDD, San Diego, CA, USA, 2011.
8. A. Monacchi, D. Egarter, W. Elmenreich, S. D'Alessandro, and A. M. Tonello. Greend: An energy consumption dataset of households in italy and austria. In Proceedings of IEEE International Conference on Smart Grid Communications, Venice, Italy, 2014.