@inproceedings{8a9e038a55b647cf921c5742b18e07e9,
title = "A dive into the specific electric energy consumption in steelworks",
abstract = "The paper describes an application of optimization techniques for the minimization of the specific electrical energy consumption related to the production of steel for a steelworks situated in Italy. The major electrical consumption derives from two internal plants: the Electric Arc Furnace and the Ladle Furnace. This work addresses the problem of understanding the best settings (based on predefined models) to produce a specific steel, which is mainly characterized by its steelgrade and quality, with the minimum energy consumption.",
keywords = "Electric arc furnace, Electrical energy, Energy savings, Ladle furnace, Mathematical modelling, Neural networks, Steelworks, Variable selection",
author = "C. Mocci and A. Maddaloni and M. Vannucci and S. Cateni and V. Colla",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG, part of Springer Nature 2018.; 6th World Conference on Information Systems and Technologies, WorldCIST 2018 ; Conference date: 27-03-2018 Through 29-03-2018",
year = "2018",
month = jan,
day = "1",
doi = "10.1007/978-3-319-77712-2\_67",
language = "English",
isbn = "9783319777115",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "714--723",
editor = "Reis, \{Luis Paulo\} and Alvaro Rocha and Sandra Costanzo and Hojjat Adeli",
booktitle = "Trends and Advances in Information Systems and Technologies",
}
