A hybrid neural network model for daily peak load forecasting using a novel clustering approach

Proceedings of the 10th IASTED International Conference on Artificial Intelligence and Soft Computing, ASC 2006

Volumn , Issue , 2006, Pages 103-108

  Amin Naseri, M R ^a   Soroush, A R ^a  

^a TARBIAT MODARES UNIVERSITY   (Iran)

Author keywords

Artificial neural networks; Clustering; Load forecasting; Self organizing map

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; CONFORMAL MAPPING; ELECTRIC REACTORS; FEEDFORWARD NEURAL NETWORKS; FLOW OF SOLIDS; FORECASTING; IMAGE CLASSIFICATION; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS; SELF ORGANIZING MAPS; SOFT COMPUTING; VEGETATION;

ARTIFICIAL NEURAL NETWORKS; CLUSTERING; CLUSTERING APPROACHES; CLUSTERING DATUMS; DAILY PEAK LOADS; DATA PATTERNS; HYBRID MODELS; HYBRID NEURAL NETWORKS; LOAD FORECASTING; LR MODELS; NOVEL CLUSTERING; PEAK LOAD FORECASTING; PEAK LOADS; PRINCIPAL COMPONENTS; SELF-ORGANIZING MAP; TRAINING ALGORITHMS; VALIDITY INDICES;

ELECTRIC LOAD FORECASTING;

EID: 56149104140     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (22)

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