Training Load Monitoring Algorithms on Highly Sub-Metered Home Electricity Consumption Data

Tsinghua Science and Technology

Volumn 13, Issue SUPPL. 1, 2008, Pages 406-411

  Berges, Mario ^a   Goldman, Ethan ^a   Matthews, H Scott ^a   Soibelman, Lucio ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

electricity metering; energy conservation; feedback; non intrusive load monitoring

Indexed keywords

ELECTRIC LOAD FORECASTING; ELECTRIC POWER UTILIZATION; ENERGY CONSERVATION; ENERGY EFFICIENCY; ENERGY MANAGEMENT; MONITORING; SENSOR DATA FUSION;

ELECTRICITY METERING; ELECTRICITY-CONSUMPTION; END USE; ENERGY-EFFICIENT BUILDINGS; EQUIPMENT COSTS; INSTALLATION TIME; LOAD MONITORING; METERING DEVICES; NON-INTRUSIVE LOAD MONITORING; OCCUPANT BEHAVIORS; PENNSYLVANIA; PITTSBURGH; RESOURCE CONSERVATIONS; SENSOR FUSIONS;

INVESTMENTS;

EID: 62649137783     PISSN: 10070214     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1007-0214(08)70182-2     Document Type: Article

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