Title :
Fuzzy modelling for a combined cycle power plant
Author :
Sáez, Doris ; Cipriano, Aldo
Author_Institution :
Catholic Univ. of Chile, Santiago, Chile
Abstract :
Presents an identification method using sensitivity analysis to determine the relevant input variables of a fuzzy model. As an example, fuzzy models of a combined cycle power plant are developed from real time data.
Keywords :
autoregressive processes; combined cycle power stations; fuzzy set theory; identification; combined cycle power plant; fuzzy model; fuzzy modelling; identification method; sensitivity analysis; Algorithm design and analysis; Boilers; Costs; Electronic mail; Fuzzy sets; Fuzzy systems; Input variables; Power generation; Sensitivity analysis; Turbines;
Conference_Titel :
Fuzzy Systems Conference Proceedings, 1999. FUZZ-IEEE '99. 1999 IEEE International
Conference_Location :
Seoul, South Korea
Print_ISBN :
0-7803-5406-0
DOI :
10.1109/FUZZY.1999.793124
