Comparison of particle swarm optimization and other metaheuristics on electricity demand estimation: A case study of Iran

Energy

Volumn 72, Issue , 2014, Pages 484-491

  Askarzadeh, Alireza ^a  

^a GRADUATE UNIVERSITY OF ADVANCED TECHNOLOGY   (Iran)

Author keywords

Electricity demand; Mean absolute percentage error; Particle swarm optimization

Indexed keywords

ECONOMICS; ELECTRICITY; ENERGY MANAGEMENT;

COMPREHENSIVE LEARNING; CONSTRICTION FACTOR; ELECTRICITY DEMANDS; MEAN ABSOLUTE PERCENTAGE ERROR; OPTIMIZATION PROBLEMS; PSO(PARTICLE SWARM OPTIMIZATION); SOCIO-ECONOMIC INDICATORS; VALIDATION PROCESS;

PARTICLE SWARM OPTIMIZATION (PSO);

COMPARATIVE STUDY; DATA SET; DEMAND ANALYSIS; DEMAND-SIDE MANAGEMENT; ELECTRICITY SUPPLY; ENERGY CONSERVATION; ENERGY POLICY; ERROR ANALYSIS; ESTIMATION METHOD; NUMERICAL MODEL; OPTIMIZATION; SOCIOECONOMIC INDICATOR;

IRAN;

APOIDEA; AVES;

EID: 84904199207     PISSN: 03605442     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.energy.2014.05.070     Document Type: Article

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