Global approach test improvement using a neural network model identification to characterise solar combisystem performances

Solar Energy

Volumn 86, Issue 7, 2012, Pages 2001-2016

  Leconte, Antoine ^a,b   Achard, Gilbert ^a   Papillon, Philippe ^b  

^a UNIVERSITÉ DE SAVOIE   (France)

^b CEA LITEN INES   (France)

Author keywords

Characterisation; Neural network; Performance prediction; Solar combisystem; Test bench

Indexed keywords

ANNUAL ENERGY SAVINGS; BLACK BOXES; CHARACTERISATION; EFFICIENT SYSTEMS; EXPERIMENTAL APPLICATION; GREY-BOX; NEURAL NETWORK MODEL; PERFORMANCE PREDICTION; PERFORMANCE TESTS; PHYSICAL EQUATIONS; REAL SYSTEMS; SCS MODEL; SEMI-VIRTUAL; SHORT CYCLE; SOLAR COMBISYSTEMS; STANDARD TESTS; TEST BENCHES; TEST DATA; THERMAL PERFORMANCE; WHITE BOX;

ELECTRIC LOAD FORECASTING; ENERGY CONSERVATION; ENERGY UTILIZATION; FORECASTING; NEURAL NETWORKS; SOLAR EQUIPMENT; TESTING;

CLIMATE MODELS;

ARTIFICIAL NEURAL NETWORK; ENERGY CONSERVATION; IDENTIFICATION METHOD; NUMERICAL MODEL; PERFORMANCE ASSESSMENT; SOLAR POWER;

EID: 84861684583     PISSN: 0038092X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.solener.2012.04.003     Document Type: Article

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