2022
DOI: 10.1051/e3sconf/202233902006
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Estimation of the volume of production of turbine vapor of a fuel boiler with stochastic exogenous factors

Abstract: The paper is based on the analysis and review of the conceptual principles, methodology and practice of modelling water-steam processes of a fuel boiler of power plants; implementation of algorithms and models of the theory of system dynamics, white and pink noise; using computational technologies of difference-scheme equations and numerical integration methods, the values of the input parameters of the production of turbine vapor of the fuel boiler are determined), which, regardless of stochastic exogenous fa… Show more

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Cited by 4 publications
(1 citation statement)
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“…One of the key advantages of this method is the ability to prevent time delays and reduce losses that may occur due to congestion on sorting lines. Machine learning can quickly identify anomalies in the sorting process, even if they are not obvious to a human observer, and take appropriate measures, such as changing the speed of the tape or sending alerts to staff to fix the problem (Kerimkhulle et al, 2022).…”
Section: Discussionmentioning
confidence: 99%
“…One of the key advantages of this method is the ability to prevent time delays and reduce losses that may occur due to congestion on sorting lines. Machine learning can quickly identify anomalies in the sorting process, even if they are not obvious to a human observer, and take appropriate measures, such as changing the speed of the tape or sending alerts to staff to fix the problem (Kerimkhulle et al, 2022).…”
Section: Discussionmentioning
confidence: 99%