Pregled bibliografske jedinice broj: 1024030
Estimation of combined cycle power plant power output using multilayer perceptron variations
Estimation of combined cycle power plant power output using multilayer perceptron variations // 10th International Technical Conference - Technological Forum 2019 - Proceedings / Kudláček, Jan (ur.).
Prag: Czech technical university in Prague, 2019. str. 94-98 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1024030 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Estimation of combined cycle power plant power output using multilayer perceptron variations
Autori
Lorencin, Ivan ; Car, Zlatan ; Kudláček, Jan ; Mrzljak, Vedran ; Anđelić, Nikola ; Blažević, Sebastijan
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
10th International Technical Conference - Technological Forum 2019 - Proceedings
/ Kudláček, Jan - Prag : Czech technical university in Prague, 2019, 94-98
ISBN
978-80-87583-30-2
Skup
10th International Technical Conference: Technological Forum 2019
Mjesto i datum
Hlinsko, Češka Republika, 18.06.2019. - 20.06.2019
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Activation function ; Combined cycle power plant ; Gas turbine ; Multilayer perceptron ; Steam turbine
Sažetak
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.
Izvorni jezik
Engleski
Znanstvena područja
Strojarstvo
POVEZANOST RADA
Ustanove:
Tehnički fakultet, Rijeka
Profili:
Zlatan Car
(autor)
Sebastijan Blažević
(autor)
Nikola Anđelić
(autor)
Vedran Mrzljak
(autor)
Ivan Lorencin
(autor)