@inproceedings{33dcaa148f77460995e4550ca368f2ba,
title = "Identification of nonstationary parameters of electric arc furnace model using Monte Carlo approach",
abstract = "This paper describes Monte Carlo analysis of an electric arc furnace (EAF) model based on measurements. In this research long-time samples have been analyzed in terms of incidence of occurring of particular values of EAF model coefficients. Their occurrence has been investigated through finding best fitted ones, which was measured by different indicators. These distributions have been approximated by continuous probability density functions that later allowed to develop a probabilistic EAF model.",
keywords = "EAF, Monte Carlo method, electric arc furnace, probability distribution, stochastic analysis",
author = "MacIej Klimas and Dariusz Grabowski",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 Progress in Applied Electrical Engineering, PAEE 2020 ; Conference date: 21-06-2020 Through 26-06-2020",
year = "2020",
month = jun,
doi = "10.1109/PAEE50669.2020.9158732",
language = "English",
series = "2020 Progress in Applied Electrical Engineering, PAEE 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2020 Progress in Applied Electrical Engineering, PAEE 2020",
address = "United States",
}