An Intelligent Model for Predicting Spike Type Technological Process Disturbances in Aluminum Electrolysis Based on Ensemble Learning Technologies | Mikhalev | Advanced Engineering Research (Rostov-on-Don)

Advanced Engineering Research (Rostov-on-Don)

ISSN 2687-1653 (Online)

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Mikhalev A.S., Penkova T.G., Nozhenkova L.F. An Intelligent Model for Predicting Spike Type Technological Process Disturbances in Aluminum Electrolysis Based on Ensemble Learning Technologies. Advanced Engineering Research (Rostov-on-Don). 2026;26(3):2619. https://doi.org/10.23947/2687-1653-2026-26-3-2619. EDN: QSBFGG

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About the Authors

A. S. Mikhalev
Institute of Computational Modelling of the Siberian Branch of the Russian Academy of Sciences
Russian Federation

Anton S. Mikhalev, First-category Programmer

50/44, Akademgorodok, Krasnoyarsk, 660036

ResearcherID: JAO-0694-2023

Scopus Author ID: 57189996049

SPIN-code: 7980-2691

T. G. Penkova
Institute of Computational Modelling of the Siberian Branch of the Russian Academy of Sciences
Russian Federation

Tatiana G. Penkova, Cand.Sci. (Eng.), Associate Professor, Head of the Applied Informatics Department, Senior Research Fellow

50/44, Akademgorodok, Krasnoyarsk, 660036

ResearcherID: JWO-2888-2024

Scopus Author ID: 36718130500

SPIN-code: 2281-3852

L. F. Nozhenkova
Institute of Computational Modelling of the Siberian Branch of the Russian Academy of Sciences
Russian Federation

Ludmila F. Nozhenkova, Dr.Sci. (Eng.), Professor, Chief Research Fellow

50/44, Akademgorodok, Krasnoyarsk, 660036

ResearcherID: P-8196-2015

Scopus Author ID: 49561698200

SPIN-code: 8354-3536

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Advanced Engineering Research (Rostov-on-Don)

ISSN 2687-1653 (Online)

Contact with: Publisher / Editorial Office of the Journal

Publisher: Don State Technical University - DSTU, Rostov-on-Don, Russia - https://donstu.ru/en/

Editor-in-Chief: Alexey N. Beskopylny, Dr.Sci. (Eng.), Professor, Vice-Rector, Don State Technical University (Rostov-on-Don, Russia)

Don State Technical University
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