Using Wavelet Transform to Disaggregate Electrical Power Consumption into the Major End-Uses

Francisco Javier Ferrandez-Pastor; Juan Manuel Garcia-Chamizo; Mario Nieto-Hidalgo; Vicente Romacho Agud; Francisco Florez Revuelta

doi:10.1007/978-3-319-13102-3_45

Using Wavelet Transform to Disaggregate Electrical Power Consumption into the Major End-Uses

Francisco Javier Ferrandez-Pastor
, Juan Manuel Garcia-Chamizo
, Mario Nieto-Hidalgo
, Vicente Romacho Agud
, Francisco Florez Revuelta

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Original language	English
Title of host publication	Ubiquitous Computing and Ambient Intelligence. Personalisation and User Adapted Services
Editors	Ram├│n Herv├ís, Sungyoung Lee, Chris Nugent, Jos├® Bravo
Place of Publication	Switzerland
Publisher	Springer
Pages	272-279
ISBN (Print)	9783319131016
DOIs	https://doi.org/10.1007/978-3-319-13102-3_45
Publication status	Published - 2014
Externally published	Yes

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Number	8867
ISSN (Electronic)	0302-9743

Bibliographical note

Note: Paper presented at: 8th International Conference, UCAmI 2014, Belfast, UK, December 2-5, 2014.

Keywords

Computer science and informatics

Access to Document

10.1007/978-3-319-13102-3_45

http://dx.doi.org/10.1007/978-3-319-13102-3_45

Cite this

Ferrandez-Pastor, F. J., Garcia-Chamizo, J. M., Nieto-Hidalgo, M., Romacho Agud, V., & Florez Revuelta, F. (2014). Using Wavelet Transform to Disaggregate Electrical Power Consumption into the Major End-Uses. In R. Herv├ís, S. Lee, C. Nugent, & J. Bravo (Eds.), Ubiquitous Computing and Ambient Intelligence. Personalisation and User Adapted Services (pp. 272-279). (Lecture Notes in Computer Science; No. 8867). Springer. https://doi.org/10.1007/978-3-319-13102-3_45

Ferrandez-Pastor, Francisco Javier ; Garcia-Chamizo, Juan Manuel ; Nieto-Hidalgo, Mario et al. / Using Wavelet Transform to Disaggregate Electrical Power Consumption into the Major End-Uses. Ubiquitous Computing and Ambient Intelligence. Personalisation and User Adapted Services. editor / Ram├│n Herv├ís ; Sungyoung Lee ; Chris Nugent ; Jos├® Bravo. Switzerland : Springer, 2014. pp. 272-279 (Lecture Notes in Computer Science; 8867).

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author = "Ferrandez-Pastor, \{Francisco Javier\} and Garcia-Chamizo, \{Juan Manuel\} and Mario Nieto-Hidalgo and \{Romacho Agud\}, Vicente and \{Florez Revuelta\}, Francisco",

note = "Note: Paper presented at: 8th International Conference, UCAmI 2014, Belfast, UK, December 2-5, 2014.",

year = "2014",

doi = "10.1007/978-3-319-13102-3\_45",

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Ferrandez-Pastor, FJ, Garcia-Chamizo, JM, Nieto-Hidalgo, M, Romacho Agud, V & Florez Revuelta, F 2014, Using Wavelet Transform to Disaggregate Electrical Power Consumption into the Major End-Uses. in R Herv├ís, S Lee, C Nugent & J Bravo (eds), Ubiquitous Computing and Ambient Intelligence. Personalisation and User Adapted Services. Lecture Notes in Computer Science, no. 8867, Springer, Switzerland, pp. 272-279. https://doi.org/10.1007/978-3-319-13102-3_45

Using Wavelet Transform to Disaggregate Electrical Power Consumption into the Major End-Uses. / Ferrandez-Pastor, Francisco Javier; Garcia-Chamizo, Juan Manuel; Nieto-Hidalgo, Mario et al.
Ubiquitous Computing and Ambient Intelligence. Personalisation and User Adapted Services. ed. / Ram├│n Herv├ís; Sungyoung Lee; Chris Nugent; Jos├® Bravo. Switzerland: Springer, 2014. p. 272-279 (Lecture Notes in Computer Science; No. 8867).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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AU - Florez Revuelta, Francisco

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BT - Ubiquitous Computing and Ambient Intelligence. Personalisation and User Adapted Services

A2 - Herv├ís, Ram├│n

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Ferrandez-Pastor FJ, Garcia-Chamizo JM, Nieto-Hidalgo M, Romacho Agud V, Florez Revuelta F. Using Wavelet Transform to Disaggregate Electrical Power Consumption into the Major End-Uses. In Herv├ís R, Lee S, Nugent C, Bravo J, editors, Ubiquitous Computing and Ambient Intelligence. Personalisation and User Adapted Services. Switzerland: Springer. 2014. p. 272-279. (Lecture Notes in Computer Science; 8867). doi: 10.1007/978-3-319-13102-3_45