Abstract
Appliance specific energy monitoring is perceived as a prerequisite for reducing energy usage in households. A number of approaches exist, however, Non-Intrusive appliance Load Monitoring is considered to be the most promising and scalable method. This method can also facilitate Ambient Intelligent applications with the hope activity recognition of the resident is of paramount importance. In this paper, we propose an event detection algorithm to support non-intrusive energy monitoring. A performance evaluation of this algorithm has been carried out on a reference dataset.
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© 2014 Springer International Publishing Switzerland
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Kazmi, A.H., O’Grady, M.J., O’Hare, G.M.P. (2014). Real-Time Event Detection for Energy Data Streams. In: Aarts, E., et al. Ambient Intelligence. AmI 2014. Lecture Notes in Computer Science(), vol 8850. Springer, Cham. https://doi.org/10.1007/978-3-319-14112-1_18
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DOI: https://doi.org/10.1007/978-3-319-14112-1_18
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Publisher Name: Springer, Cham
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Online ISBN: 978-3-319-14112-1
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