Analysis of trends in seasonal electrical energy consumption via non-negative tensor factorization

Neurocomputing

Volumn 170, Issue , 2015, Pages 318-327

  Figueiredo, Marisa ^a   Ribeiro, Bernardete ^a   de Almeida, Ana ^a,b  

^a UNIVERSITY OF COIMBRA   (Portugal)

^b INSTITUTO UNIVERSITÁRIO DE LISBOA ISCTE IUL   (Portugal)

Author keywords

Electrical signal disaggregation; Energy efficiency; Non intrusive load monitoring (NILM); Non negative tensor factorization

Indexed keywords

ENERGY EFFICIENCY; ENERGY UTILIZATION; FACTORIZATION; SIGNAL PROCESSING; TENSORS;

COMPUTATIONAL EXPERIMENT; DISAGGREGATION; ELECTRICAL CONSUMPTION; ELECTRICAL ENERGY CONSUMPTION; HOUSE ENERGY CONSUMPTION; NONINTRUSIVE LOAD MONITORING; RELEVANT COMPONENTS; TENSOR FACTORIZATION;

ELECTRIC LOAD MANAGEMENT;

ARTICLE; DATA PROCESSING; ELECTRICAL EQUIPMENT; ELECTRICITY; ENERGY CONSUMPTION; FACTORIAL ANALYSIS; HOUSEHOLD; MEASUREMENT; NON NEGATIVE TENSOR FACTORIZATION; PRIORITY JOURNAL; SEASONAL VARIATION; TREND STUDY;

EID: 84940615084     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2015.03.088     Document Type: Article

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