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To reduce energy demand in households it is useful to know which electrical appliances are in use at what times.
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Comon, P. & Jutten, C. (2010). Handbook of Blind Source Separation: Independent Component Analysis and Applications
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Kolter, J.Z., Batra, S. & Ng,A.Y. (2010) Energy disaggregation via discriminative sparse coding. Neural Information Processing Systems
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Kim, H., Marwah, M., Arlitt, M., Lyon, G. & Han, J. (2011). Unsupervised disaggregation of low frequency power measurements. Proceedings of the SIAM Conference on Data Mining
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Ziefman, M.& Roth, K.(2011). Nonintrusive appliance load monitoring: review and outlook. IEEE transactions on Consumer Electronics
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Kolter, J.Z., & Jaakkola, T. (2012) Approximate inference in additive factorial HMMs with application to energy disaggregation. Appearing in Proceedings of the 15th International Conference on Artificial Intelligence and Statistics
Parson, O., Ghosh, S., Weal, M., & Rogers, A. (2012) Non-intrusive load monitoring using prior models of general appliance types. AAAI, 2012
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Zoha, A., Gluhak, A., Imran, M.A., & Rajasegarar, S. (2012). Non-intrusive load monitoring approaches for disaggregated energy sensing: a survey. Sensors
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Johnson, M.J., & Willsky, A.S. (2013). Bayesian nonparametric hidden semi-Markov models. Journal of Machine Learning Research
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2012
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