Unsupervised disaggregation for non-intrusive load monitoring

Proceedings - 2012 11th International Conference on Machine Learning and Applications, ICMLA 2012

Volumn 2, Issue , 2012, Pages 515-520

  Pattem, Sundeep ^a  

^a NONE

Author keywords

disaggregation; unsupervised machine learning

Indexed keywords

ARTIFICIAL INTELLIGENCE; ELECTRIC LOAD MANAGEMENT; ELECTRIC POWER TRANSMISSION NETWORKS; HIDDEN MARKOV MODELS; LEARNING SYSTEMS; SMART METERS;

ABRUPT TRANSITION; DISAGGREGATION; HIDDEN MARKOV; MARKOV MODELING; MODELING ANALYZES; NONINTRUSIVE LOAD MONITORING; POWER WAVEFORMS; RESIDUALS ANALYSIS; SIGNATURE IDENTIFICATION; UNSUPERVISED MACHINE LEARNING;

VITERBI ALGORITHM;

EID: 84873585571     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLA.2012.249     Document Type: Conference Paper

References (8)

1. G. W. Hart, "Residential energy monitoring and computerized surveillance via utility power flows," in IEEE Technology and Society Magazine, Volume 80, Issue 12, pp. 1870-1891, 1989.
2. G. Hart, "Nonintrusive appliance load monitoring," in Proceedings of the IEEE, Volume 8, Issue 2, pp. 12-16, 1992.
3. Z. Kolter and M. Johnson, "Redd: A public data set for energy disaggregation research," in http://redd.csail.mit.edu/ and SustKDD workshop on Data Mining Applications in Sustainability, 2011.
4. C. M. Bishop, Chapter 13, Pattern Recognition and Machine Learning. Springer, 2006.
5. S. Theodiridis and K. Koutroumbas, Chapter 9, Pattern Recognition. Academic Press, 2009.
6. H. Kim, M. Marwah, M. Arlitt, G. Lyon, and J. Han, "Unsupervised disaggregation of low frequency power measurements," in 11th International Conference on Data Mining, pp. 747-758, 2011.
7. O. Parson, S. Ghosh, M. Weal, and A. Rogers, "Using hidden markov models for iterative non-intrusive appliance monitoring," in Neural Information Processing Systems, Workshop on Machine Learning for Sustainability, 2011.
8. Z. Kolter and T. Jaakkola, "Approximate inference in additive factorial hmms with application to energy disaggregation." in 15th International Conference on Artificial Intelligence and Statistics, pp. 1472-1482, 2012.