New artificial neural network prediction method for electrical consumption forecasting based on building end-uses

Energy and Buildings

Volumn 43, Issue 11, 2011, Pages 3112-3119

  Escrivá Escrivá, Guillermo ^a   Álvarez Bel, Carlos ^a   Roldán Blay, Carlos ^a   Alcázar Ortega, Manuel ^a  

^a UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

Author keywords

Artificial neural networks; Building end uses; Building energy consumption; Forecast method

Indexed keywords

ACTIVE ENERGY; ARTIFICIAL NEURAL NETWORK; BUILDING ENERGY CONSUMPTION; COMMERCIAL CUSTOMERS; CUSTOMER FLEXIBILITY; DEMAND RESPONSE PROGRAMS; ELECTRICAL CONSUMPTION; ELECTRICITY MARKET; END-USES; FORECAST METHOD; FUNDAMENTAL FEATURES; HIGH ENERGY PRICES; IN-BUILDINGS; LOAD CURVES; SHORT TERM PREDICTION; TOTAL POWER CONSUMPTION; TRAINING DATA SETS;

CUSTOMER SATISFACTION; ELECTRIC LOAD FORECASTING; ENERGY RESOURCES; ENERGY UTILIZATION; FORECASTING; SALES;

NEURAL NETWORKS;

EID: 80053339769     PISSN: 03787788     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enbuild.2011.08.008     Document Type: Article

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