Performance prediction of a hybrid microgeneration system using adaptive neuro-fuzzy inference system (ANFIS) technique

Applied Energy

Volumn 134, Issue , 2014, Pages 197-203

  Yang, L ^a   Entchev, E ^a  

^a NATURAL RESOURCES CANADA   (Canada)

Author keywords

Adaptive neuro fuzzy inference system (ANFIS); High efficiency condensing furnace; Hybrid microgeneration system; Internal combustion engine; Seasonal performance

Indexed keywords

FUZZY SYSTEMS; HYBRID SYSTEMS; INTERNAL COMBUSTION ENGINES; TEMPERATURE; TRACKING (POSITION);

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; HIGH DEGREE OF ACCURACY; INTEGRATED SYSTEM MODELS; MICROGENERATION SYSTEMS; OPERATING TEMPERATURE; OPERATIONAL CONDITIONS; PERFORMANCE PREDICTION; SEASONAL PERFORMANCE;

FORECASTING;

ADAPTIVE MANAGEMENT; ARCHITECTURAL DESIGN; ENGINE; FUZZY MATHEMATICS; NUMERICAL MODEL; PERFORMANCE ASSESSMENT; SEASONAL VARIATION; TEMPERATURE EFFECT;

CANADA;

EID: 84906512655     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2014.08.022     Document Type: Article

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