A hybrid parteile swarm optimization neural network approach for short term load forecasting

2008 International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008

Volumn , Issue , 2008, Pages

  Wang, Xuan ^a   Lv, Jiake ^a   Wei, Chaofu ^a   Xie, Deti ^a  

^a SOUTHWEST UNIVERSITY   (China)

Author keywords

Learning algorithm; Neural network; Particle swarm optimization; Short term load forecasting

Indexed keywords

BACKPROPAGATION; CONVERGENCE OF NUMERICAL METHODS; ELECTRIC POWER SYSTEMS; FORECASTING; LEARNING ALGORITHMS; LEARNING SYSTEMS; METROPOLITAN AREA NETWORKS; MOBILE COMPUTING; NEURAL NETWORKS; OPTIMIZATION; PARTICLE SWARM OPTIMIZATION (PSO); REGRESSION ANALYSIS; TIME SERIES ANALYSIS; VEGETATION; WIRELESS NETWORKS; WIRELESS TELECOMMUNICATION SYSTEMS;

ARMA MODELS; BACK-PROPAGATION ALGORITHMS; BP NEURAL NETWORKS; CHONGQING; CONVENTIONAL METHODS; DAILY PEAK LOADS; ELECTRIC ENERGIES; ELECTRICITY DEMANDS; ELECTRICITY SYSTEMS; EXOGENOUS INPUTS; GRADIENT ALGORITHMS; HYBRID APPROACHES; LOCAL MINIMUMS; OPERATION SYSTEMS; PARTICLE SWARM OPTIMIZATION; POWER PLANNING; POWER SYSTEMS; PREDICTION PERFORMANCES; SHORT TERM LOAD FORECASTING; SWARM OPTIMIZATIONS; TIME SERIES; TRAINING ALGORITHMS;

ELECTRIC LOAD FORECASTING;

EID: 58049089723     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WiCom.2008.1997     Document Type: Conference Paper

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