Prediction of electric load using Kohonen maps - Application to the polish electricity consumption

Proceedings of the American Control Conference

Volumn 5, Issue , 2002, Pages 3684-3689

  Lendasse, A ^a   Cottrell, M ^b   Wertz, V ^a   Verleysen, M ^a  

^a UNIVERSITÉ CATHOLIQUE DE LOUVAIN   (Belgium)

^b University Paris I Sorbonne Panthéon   (France)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; ELECTRIC POWER UTILIZATION; MATHEMATICAL MODELS; RADIAL BASIS FUNCTION NETWORKS; SELF ORGANIZING MAPS; TIME SERIES ANALYSIS;

DAILY STANDARD DEVIATION; NORMALIZED DAILY PROFILE; POLISH ELECTRICITY CONSUMPTION;

ELECTRIC LOAD FORECASTING;

EID: 0036059929     PISSN: 07431619     EISSN: None     Source Type: Journal    
DOI: 10.1109/ACC.2002.1024500     Document Type: Article

References (14)

1. Nonlinear financial time series forecasting - Application to the Bel20 stock market index
2. Non linear black box modeling in system identification: An unified overview
3. Beyong regression: New tools for prediction and analysis in the behavioural sciences
4. Learning representation by back-propagating errors
5. Neural modeling for time series: A statistical stepwise method for weight elimination
6. Forecasting of curves using a Kohonen classification
7. Radial basis functions for multivariable interpolation: A review
8. Networks for approximation and learnin
9. An optimised RBF network for approximation of functions
10. Vector quantization