A review on short term load forecasting using hybrid neural network techniques

PECon 2012 - 2012 IEEE International Conference on Power and Energy

Volumn , Issue , 2012, Pages 846-851

  Raza, M Q ^a   Baharudin, Z ^a  

^a DEPARTMENT OF CHEMICAL ENGINEERING   (Malaysia)

Author keywords

Artificial neural Network (ANN); back propagation (BP); Hybrid neural network (HNN); Particle swarm optimization (PSO); Short term load forecasting (STLF); Simulated annealing (SA)

Indexed keywords

DAY-TO-DAY OPERATIONS; ELECTRICAL LOAD; FORECASTING MODELS; HYBRID NEURAL NETWORKS; INPUT DATAS; LOAD FORECASTING; LOCAL MINIMUMS; OPERATION COST; PARTICLE SWARM OPTIMIZATION ALGORITHM; PREDICTION ACCURACY; RELIABLE OPERATION; SEARCHING CAPABILITY; SHORT TERM LOAD FORECASTING; SIMULATED ANNEALING ALGORITHMS; THREE-LAYER;

BACKPROPAGATION; ELECTRIC LOAD FORECASTING; GLOBAL OPTIMIZATION; LEARNING ALGORITHMS; NEURAL NETWORKS; PARTICLE SWARM OPTIMIZATION (PSO); SIMULATED ANNEALING;

FORECASTING;

EID: 84874478404     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PECon.2012.6450336     Document Type: Conference Paper

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