Multi-step-ahead prediction of NOx emissions for a coal-based boiler

Applied Energy

Volumn 106, Issue , 2013, Pages 89-99

  Smrekar, J ^a   Potocnik P ^b   Senegacnik A ^b  

^a UNIVERSITY OF STAVANGER   (Norway)

^b UNIVERSITY OF LJUBLJANA   (Slovenia)

Author keywords

Coal based boiler; Linear models; Multi step ahead prediction; Neural networks; NOx emissions; Support vector regression

Indexed keywords

BOILER CONTROL; BOILERS; COAL; FORECASTING; FOSSIL FUEL POWER PLANTS; NEURAL NETWORKS; NITROGEN OXIDES; OPTIMIZATION;

ADAPTIVE APPROACH; ADAPTIVE MODELLING; ADAPTIVE VERSIONS; AIR FLOW; ARX MODEL; BOILER OPERATIONS; COAL BASED POWER PLANTS; COMBUSTION PRO-CESS; EU REGULATIONS; EXCESS AIR; FINE TUNING; INPUT VARIABLES; LINEAR ARX MODEL; MODEL COMPARISON; MULTI-STEP; MULTI-STEP-AHEAD PREDICTIONS; NON-LINEAR MODEL; NOX EMISSIONS; NOX PREDICTION; ON-LINE CONTROLS; OPTIMISATIONS; PERFORMANCE MEASURE; PRE-PROCESSING; PREDICTION PERFORMANCE; ROBUST PREDICTIONS; SUPPORT VECTOR REGRESSION (SVR); TRANSFORMED VARIABLES;

COAL COMBUSTION;

AIRFLOW; ARTIFICIAL NEURAL NETWORK; COAL-FIRED POWER PLANT; EUROPEAN UNION; INDUSTRIAL EMISSION; NATURAL GAS; NITROGEN OXIDES; NONLINEARITY; NUMERICAL MODEL; OPTIMIZATION; OZONE; PUBLIC HEALTH; REGULATORY FRAMEWORK;

EUROPE;

EID: 84873718903     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2012.10.056     Document Type: Article

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