Abstract
This paper proposes an innovative method based on wavelet transform (WT) to decompose the global power consumption in elemental loads corresponding to each appliance. The aim is to identify the main entities that are responsible of total electricity consumption. The research demonstrates that the WT could be used to identify simpler electrical consumption patterns as a part of total consumption curve. Real power measurements has been used in this work. The results obtained have shown the accuracy to decompose consumption curves using WT. This work could be used to develop new energy management services that will improve ambient intelligence.
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Ferrández-Pastor, FJ., García-Chamizo, JM., Nieto-Hidalgo, M., Romacho-Agud, V., Flórez-Revuelta, F. (2014). Using Wavelet Transform to Disaggregate Electrical Power Consumption into the Major End-Uses. In: Hervás, R., Lee, S., Nugent, C., Bravo, J. (eds) Ubiquitous Computing and Ambient Intelligence. Personalisation and User Adapted Services. UCAmI 2014. Lecture Notes in Computer Science, vol 8867. Springer, Cham. https://doi.org/10.1007/978-3-319-13102-3_45
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DOI: https://doi.org/10.1007/978-3-319-13102-3_45
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-13101-6
Online ISBN: 978-3-319-13102-3
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