The integration of artificial neural networks and particle swarm optimization to forecast world green energy consumption

Energy Sources, Part B: Economics, Planning and Policy

Volumn 7, Issue 4, 2012, Pages 398-410

  Assareh, E ^a   Behrang, M A ^a   Ghanbarzadeh, A ^b  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

^b SHAHID CHAMRAN UNIVERSITY OF AHVAZ   (Iran)

Author keywords

artificial neural networks; forecasting; fossil fuels; green energy; particle swarm optimization

Indexed keywords

CORRELATION COEFFICIENT; FEED-FORWARD BACK PROPAGATION; GREEN ENERGY; GROSS DOMESTIC PRODUCTS; OBSERVED DATA; OIL TRADE; PARTICLE SWARM; PRIMARY ENERGIES; PRIMARY ENERGY CONSUMPTION; PRIMARY ENERGY DEMAND; SOCIOECONOMIC INDICATORS; TIME DOMAIN; WORLD POPULATION;

ALTERNATIVE FUELS; COMMERCE; ENERGY UTILIZATION; FORECASTING; FOSSIL FUELS; NATURAL GAS; NEURAL NETWORKS; PARTICLE SWARM OPTIMIZATION (PSO);

ELECTRIC LOAD FORECASTING;

EID: 84859186251     PISSN: 15567249     EISSN: 15567257     Source Type: Journal    
DOI: 10.1080/15567241003792341     Document Type: Article

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