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.
CITATION STYLE
Ferrández-Pastor, F. J., García-Chamizo, J. M., Nieto-Hidalgo, M., Romacho-Agud, V., & Flórez-Revuelta, F. (2014). Using wavelet transform to disaggregate electrical power consumption into the major end-uses. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8867, 272–279. https://doi.org/10.1007/978-3-319-13102-3_45
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