Input variable selection for forecasting models

IFAC Proceedings Volumes (IFAC-PapersOnline)

Volumn 15, Issue 1, 2002, Pages 463-468

  Arahal, Manuel R ^a   Cepeda, Alfonso ^a   Camacho, Eduardo F ^a  

^a UNIVERSITY OF SEVILLE   (Spain)

Author keywords

Autocorrelation; Autoregressive models; Neural networks; Time series analysis

Indexed keywords

AUTOCORRELATION; AUTOMATION; FORECASTING; NEURAL NETWORKS; NONLINEAR SYSTEMS;

AUTO REGRESSIVE MODELS; FORECASTING MODELS; INPUT VARIABLE SELECTION; MODELLING TIME; NON-LINEAR MODEL; SELECTION OF INPUT VARIABLES; SHORT TERM LOAD FORECASTING; UTILITY COMPANIES;

TIME SERIES ANALYSIS;

EID: 84945585574     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3182/20020721-6-es-1901.00730     Document Type: Conference Paper

References (4)

1. Arahal, M.R. and E.F. Camacho (2001). Neighbor histories for short term load forecasting. Proceedings of the European Control Conference pp. 2796-2801.
2. Chow, T.W.S. and C.T. Leung (1997). Neural network based short-term load forecasting usign weather compensation. IEEE Transactions on on Power Systems 11, 1736-1742.
3. Pavón, F. and M.R. Arahal (2000). Predicción a corto plazo de la demanda de la energía eléctrica con siconel. (in spanish) Actas de las XXI Jornadas de Automática, CD-ROM 1, ja00-002.
4. Yuan, J.-L. and T.L. Fine (1998). Neural-network design for small training sets of high dimension. IEEE Transactions on neural networks 9, 266-280.