Application of data mining in power plant unburned carbon in fly ash modeling

Making fully use of the large amount of operation historical data from power plant, data mining modeling method was proposed to avoid the difficulty of traditional modeling method in power plant unburned carbon in fly ash modeling. Based on the actual operation data of a 300MW unit, mathematic model of the unburned carbon in fly ash was constructed by data mining method. The modeling algorithm were partial least square (PLS), artificial neural network (ANN), and PLS-ANN. A comparison has been made among models respectively obtained by PLS, ANN, PLS-ANN. Results show that with the unburned carbon in fly ash model based on ANN, accurate calculation can be achieved, proving the data mining model method to be effective and feasible.