Development and validation of regression models to predict monthly heating demand for residential buildings

Energy and Buildings

Volumn 40, Issue 10, 2008, Pages 1825-1832

  Catalina, Tiberiu ^a   Virgone, Joseph ^b   Blanco, Eric ^c  

^a UNIVERSITÉ DE LYON   (France)

^b UNIVERSITÉ LYON 1   (France)

^c ECOLE CENTRALE DE LYON   (France)

Author keywords

Building shape factor; Building time constant; Heating demand; Multiple regression analysis; Sol air temperature; Window to floor area ratio

Indexed keywords

BUILDINGS; COLLOIDS; DATABASE SYSTEMS; ENERGY MANAGEMENT; ENERGY UTILIZATION; FOOD PROCESSING; FORECASTING; FORESTRY; FUNCTION EVALUATION; HEATING; MATHEMATICAL MODELS; NEURAL NETWORKS; REGRESSION ANALYSIS; STEEL ANALYSIS;

AIR TEMPERATURE (T); AVERAGE ERRORS; BUILDING ENVELOPES; BUILDING STRUCTURES; DESIGN ENGINEERS; DYNAMIC SIMULATIONS; ECONOMIC CRITERIA; EFFICIENT METHODS; ELSEVIER (CO); ENERGY EQUATION (EE); ENERGY PREDICTION; ENERGY USES; FLOOR AREAS; IN ORDER; MAJOR CITIES; MAXIMUM DEVIATION; MULTIPLE REGRESSION ANALYSIS; PARAMETRIC STUDIES; PATTERN CHANGING; PREDICTION MODELING; REGRESSION (R2); REGRESSION MODELLING; RESEARCH WORKS; RESIDENTIAL BUILDINGS; RESIDENTIAL SECTORS; SET POINTS; SHAPE FACTORS; SIMPLIFIED MODELS; SUPPORT TOOLS; TEMPERATE CLIMATES; TIME CONSTANTS;

DYNAMIC MODELS;

AIR; BUILDINGS; CLIMATES; COLLOIDS; ECONOMICS; ENERGY BALANCE; FORECASTS; FORESTRY; HEATING; MATHEMATICAL MODELS; NEURAL NETWORKS; PLANNING; REGRESSION ANALYSIS; ROOFING; STEEL; TEMPERATURE CONTROL;

EID: 47649107696     PISSN: 03787788     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enbuild.2008.04.001     Document Type: Article

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