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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Vydáno v:	St. Petersburg State Polytechnical University Journal. Computer Science. Telecommunications and Control Systems Ročník 14; číslo 3; s. 20
Hlavní autor:	Kudriashov, Nikita S
Médium:	Journal Article
Jazyk:	angličtina ruština
Vydáno:	Saint Petersburg Peter the Great St. Petersburg State Polytechnical University 01.01.2021
Témata:	Algorithms Artificial neural networks Desalination Energy consumption Fractionation Machine learning Model accuracy Modelling Petroleum refining Production planning
ISSN:	2304-9766
On-line přístup:	Získat plný text
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