Revealing household characteristics from smart meter data

Energy

Volumn 78, Issue , 2014, Pages 397-410

  Beckel, Christian ^a   Sadamori, Leyna ^a   Staake, Thorsten ^b   Santini, Silvia ^c  

^a ETH ZURICH   (Switzerland)

^b UNIVERSITY OF BAMBERG   (Germany)

^c DARMSTADT UNIVERSITY OF TECHNOLOGY   (Germany)

Author keywords

Automated customer segmentation; Data driven energy efficiency; Domestic electricity consumption; Electricity load profiles; Supervised machine learning

Indexed keywords

ARTIFICIAL INTELLIGENCE; ECONOMICS; ELECTRIC MEASURING INSTRUMENTS; LEARNING SYSTEMS; SMART METERS; SUPERVISED LEARNING;

CUSTOMER SEGMENTATION; DATA DRIVEN; ELECTRICITY LOAD; ELECTRICITY-CONSUMPTION; SUPERVISED MACHINE LEARNING;

ENERGY EFFICIENCY;

ACCURACY ASSESSMENT; DATA ACQUISITION; ELECTRICITY GENERATION; ELECTRONIC EQUIPMENT; ENERGY EFFICIENCY; HOUSEHOLD ENERGY; SOCIOECONOMIC STATUS;

IRELAND;

EID: 84920726097     PISSN: 03605442     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.energy.2014.10.025     Document Type: Article

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