Computational Intelligence techniques for maximum energy efficiency of an internal combustion engine and a steam turbine of a cogeneration process

International Journal of Energy and Environmental Engineering

Volumn 5, Issue 2-3, 2014, Pages 1-10

  Seijo Fernández, Sandra ^a   del Campo, I ^a   Echanobe, J ^a   Garcia Sedano J ^b   Suso, E ^b   Arbizu, E ^b  

^a UNIVERSITY OF THE BASQUE COUNTRY UPV EHU   (Spain)

^b OPTIMITIVE SL Vitoria Gasteiz   (Spain)

Author keywords

Cogeneration plant; Computational Intelligence; Efficiency; Modelization; Neural network; Neuro fuzzy; Optimization

Indexed keywords

ARTIFICIAL INTELLIGENCE; COGENERATION PLANTS; COMPUTATIONAL EFFICIENCY; EFFICIENCY; ENERGY EFFICIENCY; FUZZY INFERENCE; FUZZY NEURAL NETWORKS; FUZZY SYSTEMS; INTELLIGENT COMPUTING; INTERNAL COMBUSTION ENGINES; NEURAL NETWORKS; OPTIMIZATION; STEAM TURBINES;

COMPUTATIONAL INTELLIGENCE TECHNIQUES; DATA COLLECTION; ENERGY PRODUCTIONS; INPUT VARIABLES; MODELIZATION; NEURO-FUZZY; NEUROFUZZY SYSTEM; REDUNDANT DATA;

DATA MINING;

EID: 84923067819     PISSN: 20089163     EISSN: 22516832     Source Type: Journal    
DOI: 10.1007/s40095-014-0121-5     Document Type: Article

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