Learning to be energy-wise: Discriminative methods for load disaggregation

Proceedings of the 3rd International Conference on Future Energy Systems: "Where Energy, Computing and Communication Meet", e-Energy 2012

Volumn , Issue , 2012, Pages

  Rahayu, Dwi ^a   Narayanaswamy, Balakrishnan ^b   Krishnaswamy, Shonali ^a   Labbé, Cyril ^c   Seetharam, Deva P ^b  

^a MONASH UNIVERSITY   (Australia)

^b IBM RESEARCH   (United States)

^c UNIV GRENOBLE ALPES   (France)

Author keywords

Context awareness and ubiquitous computing; Data mining; Energy management; Non intrusive

Indexed keywords

AGGREGATE LOAD; CONTEXT-AWARENESS; DATA SETS; DEMAND RESPONSE; DISAGGREGATION; DISAGGREGATION TECHNIQUES; DISCRIMINATIVE METHODS; DR SIGNALS; EXPERIMENTAL EVALUATION; GENERATIVE MODEL; NON-INTRUSIVE; RESIDENTIAL LOADS; TOTAL LOAD; TRAINING PHASE;

DATA MINING; ENERGY MANAGEMENT; ENERGY UTILIZATION;

UBIQUITOUS COMPUTING;

EID: 84861556602     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2208828.2208838     Document Type: Conference Paper

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