Vapnik's learning theory applied to energy consumption forecasts in residential buildings

International Journal of Computer Mathematics

Volumn 85, Issue 10, 2008, Pages 1563-1588

  Lai, Florence ^a,b   Magoulès, Frédéric ^a   Lherminier, Fred ^c  

^a Ecole Centrale de Paris   (France)

^b KEIO UNIVERSITY   (Japan)

^c TECHNOPÔLE BREST IROISE   (France)

Author keywords

Data mining; Energy conservation; Energy efficiency; Predictive modelling; Statistical learning theory

Indexed keywords

ELECTRICAL CONSUMPTION; ENERGY CONSUMPTION DATUM; LEARNING MACHINES; MEASUREMENT CAMPAIGN; MODEL PERFORMANCE; PREDICTIVE MODELLING; RESIDENTIAL BUILDING; STATISTICAL LEARNING THEORY;

BUILDINGS; DATA MINING; ENERGY CONSERVATION; ENERGY EFFICIENCY; ENERGY UTILIZATION; EXPERIMENTS;

FORECASTING;

EID: 49549124988     PISSN: 00207160     EISSN: 10290265     Source Type: Journal    
DOI: 10.1080/00207160802033582     Document Type: Article

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