Applying wavelets to short-term load forecasting using PSO-based neural networks

IEEE Transactions on Power Systems

Volumn 24, Issue 1, 2009, Pages 20-27

  Bashir, Z A ^a   El Hawary, M E ^a  

^a DALHOUSIE UNIVERSITY   (Canada)

Author keywords

Hourly load forecasting; Neural networks; Particle swarm optimization; Wavelet transform; Weighted multiple linear regression

Indexed keywords

ALGORITHMS; BACKPROPAGATION; BACKPROPAGATION ALGORITHMS; ELECTRIC LOAD FORECASTING; FORECASTING; FOURIER TRANSFORMS; MATHEMATICAL TRANSFORMATIONS; NEURAL NETWORKS; OPTIMIZATION; SUPPORT VECTOR MACHINES; WAVELET TRANSFORMS;

ARTIFICIAL NEURAL NETWORKS; BP ALGORITHMS; ERROR ESTIMATIONS; FORECASTING MODELS; FORECASTING PRECISION; HOURLY LOAD FORECASTING; LOAD CHARACTERIZATIONS; LOAD CURVES; OUTPUT ERRORS; PARTICLE SWARM OPTIMIZATION; POTENTIAL SOLUTIONS; PSO ALGORITHMS; REDUNDANT INFORMATIONS; SHORT-TERM LOAD FORECASTING; TRAINING ALGORITHMS; TRAINING PHASE; WAVELET TRANSFORM; WEATHER INFORMATIONS; WEIGHTED MULTIPLE LINEAR REGRESSION;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 60149107687     PISSN: 08858950     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPWRS.2008.2008606     Document Type: Article

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