1. Репозиторий Самарского национального исследовательского университета имени академика С.П. Королёва
  2. 04. Материалы конференций
  3. Информационные технологии и нанотехнологии
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dc.contributor.authorGeneralov D. A.ru
dc.contributor.authorGladilin N. D.ru
dc.contributor.authorKovalnogov V. N.ru
dc.contributor.authorSherkunov V. V.ru
dc.date.accessioned2026-01-23T11:29:00Z-
dc.date.available2026-01-23T11:29:00Z-
dc.date.issued2025-
dc.identifierRU\НТБ СГАУ\582266ru
dc.identifier.citationDevelopment of a model for predicting the load on a steam boiler of a thermal power plant / N. D. Gladilin, V. V. Sherkunov, D. A. Generalov, V. N. Kovalnogov // Информационные технологии и нанотехнологии (ИТНТ-2025) : материалы XI междунар. конф. и молодеж. шк. (г. Самарканд, Узбекистан, 7-9 окт. 2025 г.) / М-во науки и высш. образования Рос. Федерации, Самар. нац. исслед. ун-т им. С. П. Королева (Самар. ун-т). - Самара : Изд-во Самар. ун-та, 2025. - С. 030802.ru
dc.identifier.isbnru
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dc.identifier.npsru
dc.identifier.orcidru
dc.description.abstractAs a result, a model for predicting the load at a thermalpower plant was built. To achieve this goal, data on theoperation of the turbine for three years after the plant'soperation were collected. Then, the data were analyzed usingemission processing, trend and seasonality identification, andmodeling of new features. As a result of the analysis, themost correlated time intervals were identified, which wereultimately fed into the model for training. The developedmodel demonstrates high performance in predictionverification metrics.ru
dc.description.firstpage030802ru
dc.format.extentru
dc.format.mimetypeTextru
dc.language.isoengru
dc.publisherPublisherru
dc.rightsLicenseru
dc.sourceSourceru
dc.textpart-
dc.subjectenergyru
dc.subjectLSTMru
dc.subjectmachine learningru
dc.subjectthermal power plantru
dc.subject.rubbkru
dc.subject.rugasntiru
dc.subject.udcru
dc.titleDevelopment of a model for predicting the load on a steam boiler of a thermal power plantru
dc.title.alternativeru
dc.typeType Textru
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