Dynamic energy consumption rationing based on machine learning algorithms for oil refining tasks

Energy consumption rationing is necessary for high-quality production planning, and allows optimizing their use. This paper provides an analysis of various approaches to building a model of energy consumption, describes their limitations and new approaches to dynamic rationing. As the object of mode...

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Bibliographic Details

Published in:	St. Petersburg State Polytechnical University Journal. Computer Science. Telecommunications and Control Systems Vol. 14; no. 3; p. 20
Main Author:	Kudriashov, Nikita S
Format:	Journal Article
Language:	English Russian
Published:	Saint Petersburg Peter the Great St. Petersburg State Polytechnical University 01.01.2021
Subjects:	Algorithms Artificial neural networks Desalination Energy consumption Fractionation Machine learning Model accuracy Modelling Petroleum refining Production planning
ISSN:	2304-9766
Online Access:	Get full text
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