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)

Volumn 8867, Issue , 2014, Pages 272-279

  Ferrández Pastor, Francisco Javier ^a   García Chamizo, Juan Manuel ^c   Nieto Hidalgo, Mario ^c   Romacho Agud, Vicente ^c   Flórez Revuelta, Francisco ^b  

^a UNIVERSITY OF ALICANTE   (Spain)

^b KINGSTON UNIVERSITY   (United Kingdom)

^c NONE

Author keywords

Disaggregated energy; Electrical consumption; NILM; Wavelet transform

Indexed keywords

AMBIENT INTELLIGENCE; ARTIFICIAL INTELLIGENCE; ELECTRIC POWER UTILIZATION; UBIQUITOUS COMPUTING;

DISAGGREGATED ENERGY; ELECTRICAL CONSUMPTION; ELECTRICAL POWER CONSUMPTION; ELECTRICITY-CONSUMPTION; INNOVATIVE METHOD; MANAGEMENT SERVICE; NEW ENERGIES; NILM; AMBIENT INTELLIGENCE;

WAVELET TRANSFORMS;

EID: 84921656062     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-13102-3_45     Document Type: Article

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