Modeling of De-Icing Heating System by Machine Learning Methods-Reference-Cited by-同舟云学术

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Modeling of De-Icing Heating System by Machine Learning Methods

Published:2024-02-29 Issue: Volume: Page:1-5
ISSN:
Container-title:2024 6th International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE)
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Author:

Perov V. B.¹,Miloserdov V. O.²,Korliakova M. O.²,Milman O. O.³,Korliakova E. J.⁴

Affiliation:

1. LCC “THERMOCON”,Kaluga,Russian Federation

2. Kaluga Branch of Bauman Moscow State Technical University,Kaluga,Russian Federation

3. CJSC SPC “Turbocon”, Kaluga State University named after K.E. Tsiolkovski,Kaluga,Russian Federation

4. NUST “MISiS”, Kaluga Branch of Bauman Moscow State Technical University,Kaluga,Russian Federation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10479558/10479559/10479873.pdf?arnumber=10479873

Reference21 articles.

1. Characterising the Digital Twin: A systematic literature review

2. Monitoring of infiltration processes in hydraulic structures using distributed acoustic sensing technology

3. Methodology for the control of electric power distribution system components to ensure the quality of consumed electricity

4. Application of digital geomechanical twins to predict and assess risks of reserve loss in ore mining projects

5. Digital twin for combined casting and rolling line control

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