Neural-based electricity load forecasting using hybrid of GA and ACO for feature selection

Neural Computing and Applications

Volumn 21, Issue 8, 2012, Pages 1961-1970

  Sheikhan, Mansour ^a   Mohammadi, Najmeh ^a,b  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

^b Research Center of West Tehran Province Power Distribution Company   (Iran)

Author keywords

Ant colony optimization; Feature selection; Genetic algorithm; Neural network; Short term load forecasting

Indexed keywords

ANT COLONY OPTIMIZATION (ACO); CLIMATIC CONDITIONS; ELECTRICITY DEMANDS; ELECTRICITY INDUSTRY; ELECTRICITY LOAD; HOURLY LOAD; HYBRID MODEL; LOAD FORECASTING; LOAD PREDICTIONS; MEAN ABSOLUTE PERCENTAGE ERROR; MULTI LAYER PERCEPTRON; NATIONAL POWER SYSTEMS; NEURAL MODELS; NON-LINEAR RELATIONSHIPS; PERFORMANCE COMPARISON; RADIAL BASIS FUNCTIONS; REGIONAL POWER SYSTEMS; SHORT TERM LOAD FORECASTING; STRATEGY MANAGEMENT;

ELECTRIC LOAD FORECASTING; ELECTRICITY; FEATURE EXTRACTION; FORECASTING; GENETIC ALGORITHMS; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS; RADIAL BASIS FUNCTION NETWORKS;

ARTIFICIAL INTELLIGENCE;

EID: 84867693003     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00521-011-0599-1     Document Type: Article

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