Very short-term electricity load demand forecasting using support vector regression

Proceedings of the International Joint Conference on Neural Networks

Volumn , Issue , 2009, Pages 2888-2894

  Setiawan, Anthony ^a   Koprinska, Irena ^b   Agelidis, Vassilios G ^a  

^a UNIVERSITY OF SYDNEY   (Australia)

^b UNIVERSITY OF SYDNEY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

BACK PROPAGATION NEURAL NETWORKS; ELECTRICITY LOAD; FEATURE SELECTION METHODS; FEATURE SETS; HISTORICAL DATA; LEAST MEANS SQUARE; LOAD DEMAND; NEW APPROACHES; PREDICTION MODEL; SHORT TERM; SUPPORT VECTOR REGRESSIONS;

MATHEMATICAL MODELS; NEURAL NETWORKS; REGRESSION ANALYSIS; VECTORS;

ELECTRIC LOAD FORECASTING;

EID: 70449360948     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2009.5179063     Document Type: Conference Paper

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