A comparison of energy consumption prediction models based on neural networks of a bioclimatic building

Energies

Volumn 9, Issue 1, 2016, Pages

  Khosravani, Hamid R ^a,b   Castilla, María Del Mar ^c   Berenguel, Manuel ^c   Ruano, Antonio E ^a,b   Ferreira, Pedro M ^d  

^a UNIVERSITY OF ALGARVE   (Portugal)

^b INSTITUTO SUPERIOR TÉCNICO   (Portugal)

^c UNIVERSITY OF ALMERÍA   (Spain)

^d UNIVERSITY OF LISBON   (Portugal)

Author keywords

Data selection; Electric power demand; Multi objective genetic algorithm (MOGA); Neural networks; Predictive model

Indexed keywords

ARTIFICIAL INTELLIGENCE; BUILDINGS; ELECTRIC POWER UTILIZATION; ENERGY CONSERVATION; ENERGY POLICY; GENETIC ALGORITHMS; NEURAL NETWORKS; SOLAR ENERGY;

BIO-CLIMATIC ARCHITECTURES; DATA SELECTION; ELECTRIC POWER DEMANDS; ENERGY CONSUMPTION PREDICTION; EUROPEAN UNION COUNTRIES; MULTI-OBJECTIVE GENETIC ALGORITHM; PREDICTIVE MODELING; TOTAL ENERGY CONSUMPTION;

ENERGY UTILIZATION;

EID: 84956665708     PISSN: None     EISSN: 19961073     Source Type: Journal    
DOI: 10.3390/en9010057     Document Type: Article

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