Hopfield neural networks approach for design optimization of hybrid power systems with multiple renewable energy sources in a fuzzy environment

Journal of Intelligent and Fuzzy Systems

Volumn 26, Issue 5, 2014, Pages 2143-2154

  Ganesan, T ^a   Vasant, P ^a   Elamvazuthi, I ^a  

^a DEPARTMENT OF CHEMICAL ENGINEERING   (Malaysia)

Author keywords

Alternative energy; distributed generation (DG); fuzzy environment; Hopfield neural networks (HNN); optimization strategy

Indexed keywords

COST EFFECTIVENESS; DISTRIBUTED POWER GENERATION; ELECTRIC BATTERIES; ELECTRIC POWER SUPPLIES TO APPARATUS; PARTICLE SWARM OPTIMIZATION (PSO); PHOTOVOLTAIC CELLS; RENEWABLE ENERGY RESOURCES;

ALTERNATIVE ENERGY; ALTERNATIVE ENERGY SOURCE; DESIGN OPTIMIZATION; FUZZY ENVIRONMENTS; HOPFIELD NEURAL NETWORKS (HNN); HYBRID POWER SYSTEMS; OPTIMIZATION STRATEGY; RENEWABLE ENERGY SOURCE;

HOPFIELD NEURAL NETWORKS;

EID: 84901813145     PISSN: 10641246     EISSN: 18758967     Source Type: Journal    
DOI: 10.3233/IFS-130889     Document Type: Article

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