Unsupervised Disaggregation of Low Frequency Power Measurements


Fear of increasing prices and concern about climate change are motivating residential power conservation efforts. We investigate the effectiveness of several unsupervised disaggregation methods on low frequency power measurements collected in real homes. Specifically, we consider variants of the factorial hidden Markov model. Our results indicate that a… (More)
DOI: 10.1137/1.9781611972818.64


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@inproceedings{Kim2011UnsupervisedDO, title={Unsupervised Disaggregation of Low Frequency Power Measurements}, author={Hyungsul Kim and Manish Marwah and Martin F. Arlitt and Geoff Lyon and Jiawei Han}, booktitle={SDM}, year={2011} }