Regression models for predicting UK office building energy consumption from heating and cooling demands

Energy and Buildings

Volumn 59, Issue , 2013, Pages 214-227

  Korolija, Ivan ^a   Zhang, Yi ^a   Marjanovic Halburd, Ljiljana ^b   Hanby, Victor I ^a  

^a DE MONTFORT UNIVERSITY   (United Kingdom)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

Energy performance; HVAC systems; Parameters; Regression models; UK office buildings

Indexed keywords

ALUMINIUM PANELS; AUXILIARY ENERGY; BEST FIT; BUILDING ENERGY CONSUMPTION; BUILDING HEATING; BUILDING PARAMETERS; CHILLED CEILING SYSTEMS; ENERGY PERFORMANCE; ENERGY REQUIREMENTS; ENERGYPLUS; FLOOR AREAS; GOODNESS OF FIT; HVAC SYSTEM; PARAMETERS; RADIATOR HEATING; REGRESSION MODEL; STATISTICAL MODELS;

ALUMINUM; COOLING; ELECTRIC LOAD FORECASTING; ENERGY UTILIZATION; HEATING; OFFICE BUILDINGS; REGRESSION ANALYSIS;

AIR CONDITIONING;

EID: 84873326001     PISSN: 03787788     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enbuild.2012.12.005     Document Type: Article

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