Improving the identification of RBF predictive models to forecast the Portuguese electricity consumption ?

IFAC Proceedings Volumes (IFAC-PapersOnline)

Volumn 1, Issue PART 1, 2010, Pages 208-213

  Ferreira, Pedro M ^a   Ruano, Antfionio E ^b   Pestana, Rui ^c  

^a Algarve Science and Technology Park   (Portugal)

^b UNIVERSITY OF ALGARVE   (Portugal)

^c REN Rede Elfiectrica Nacional   (Portugal)

Author keywords

Electricity load demand; Modelling; Neural networks; Prediction; Radial basis functions

Indexed keywords

ELECTRIC POWER TRANSMISSION NETWORKS; ELECTRIC POWER UTILIZATION; ENERGY EFFICIENCY; FORECASTING; FUNCTIONS; GENETIC ALGORITHMS; HEAT CONDUCTION; IMAGE SEGMENTATION; MODELS; NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS;

ELECTRICITY LOAD; ELECTRICITY-CONSUMPTION; LEVENBERG-MARQUARDT ALGORITHM; MULTI-OBJECTIVE GENETIC ALGORITHM; MULTI-STEP PREDICTION; PREDICTION ACCURACY; RADIAL BASIS FUNCTION NEURAL NETWORKS; RADIAL BASIS FUNCTIONS;

PREDICTIVE ANALYTICS;

EID: 80052018706     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3182/20100329-3-pt-3006.00039     Document Type: Conference Paper

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