Non-Intrusive Load Monitoring Using Prior Models of General Appliance Types

Proceedings of the 26th AAAI Conference on Artificial Intelligence, AAAI 2012

Volumn , Issue , 2012, Pages 356-362

  Parson, Oliver ^a   Ghosh, Siddhartha ^a   Weal, Mark ^a   Rogers, Alex ^a  

^a UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

AGGREGATES; ARTIFICIAL INTELLIGENCE; ELECTRIC LOADS; ITERATIVE METHODS;

AGGREGATE LOAD; BEHAVIOUR MODELS; DATA SET; DISAGGREGATION; ELECTRICITY-CONSUMPTION; NON-INTRUSIVE APPLIANCE LOAD MONITORING; NONINTRUSIVE LOAD MONITORING; PERFORMANCE; PRIOR MODELING; TRAINING DATA;

ENERGY CONSERVATION;

EID: 85167427055     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. Bishop, C. M. 2006. Pattern Recognition and Machine Learning. Springer.
2. Darby, S. 2006. The Effectiveness of Feedback on Energy Consumption, A review for DEFRA of the literature on metering, billing and direct displays. Technical report, University of Oxford, UK.
3. Department of Energy & Climate Change. 2009. A consultation on smart metering for electricity and gas. Technical report, UK.
4. Hart, G. W. 1992. Nonintrusive appliance load monitoring. Proceedings of the IEEE 80(12):1870-1891.
5. Kim, H.; Marwah, M.; Arlitt, M. F.; Lyon, G.; and Han, J. 2011. Unsupervised Disaggregation of Low Frequency Power Measurements. In Proceedings of the 11th SIAM International Conference on Data Mining, 747-758.
6. Kolter, J. Z., and Jaakkola, T. 2012. Approximate Inference in Additive Factorial HMMs with Application to Energy Disaggregation. In International Conference on Artificial Intelligence and Statistics, 1472-1482.
7. Kolter, J. Z., and Johnson, M. J. 2011. REDD: A Public Data Set for Energy Disaggregation Research. In ACM Special Interest Group on Knowledge Discovery and Data Mining, workshop on Data Mining Applications in Sustainability.
8. Kolter, J. Z.; Batra, S.; and Ng, A. Y. 2010. Energy Disaggregation via Discriminative Sparse Coding. In Proceedings of the 24th Annual Conference on Neural Information Processing Systems, 1153-1161.
9. Viterbi, A. 1967. Error bounds for convolutional codes and an asymptotically optimum decoding algorithm. IEEE Transactions on Information Theory 13(2):260-269.
10. Zeifman, M., and Roth, K. 2011. Nonintrusive appliance load monitoring: Review and outlook. IEEE Transactions on Consumer Electronics 57(1):76-84.