An unsupervised training method for non-intrusive appliance load monitoring

Artificial Intelligence

Volumn 217, Issue , 2014, Pages 1-19

  Parson, Oliver ^a   Ghosh, Siddhartha ^a   Weal, Mark ^a   Rogers, Alex ^a  

^a UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

Author keywords

Bayesian networks; Computational sustainability; Machine learning; Smart grid; Unsupervised learning

Indexed keywords

AGGREGATES; ARTIFICIAL INTELLIGENCE; BAYESIAN NETWORKS; LEARNING SYSTEMS; SMART POWER GRIDS; UNSUPERVISED LEARNING;

COMPUTATIONAL SUSTAINABILITY; ELECTRICITY-CONSUMPTION; EMPIRICAL EVALUATIONS; NON-INTRUSIVE APPLIANCE LOAD MONITORING; NON-INTRUSIVE MONITORING; SMART GRID; UNSUPERVISED LEARNING METHOD; UNSUPERVISED TRAINING;

EQUIPMENT; BAYESIAN NETWORKS;

EID: 84906485750     PISSN: 00043702     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.artint.2014.07.010     Document Type: Article

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