engleski

Estimation of combined cycle power plant power output using multilayer perceptron variations

In this paper an artificial intelligence­based method for output electric power of combined cycle power plant (CCPP) is presented. Method is based on utilizing various designs of multilayer perceptron (MLP). Different MLPs are designed by varying activation functions, solvers and configurations of hidden layers. MLPs are trained and tested by using training dataset of 7500 samples and test dataset of 2068 samples. From obtained results it can be concluded that by using appropriate activation function and solver, low output errors are achieved, regardless of hidden layers. Furthermore, it can be concluded that minimal error is achieved if MLPs designed with Tanh activation function are used.

Activation function ; Combined cycle power plant ; Gas turbine ; Multilayer perceptron ; Steam turbine

nije evidentirano