Utilizza questo identificativo per citare o creare un link a questo documento: http://elartu.tntu.edu.ua/handle/123456789/18191

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Campo DCValoreLingua
dc.contributor.authorNazarevych, Oleh-
dc.contributor.authorGotovych, Volodymyr-
dc.contributor.authorShymchuk, Grigorij-
dc.contributor.authorНазаревич, Олег Богданович-
dc.contributor.authorГотович, Володимир Анатолійович-
dc.contributor.authorШимчук, Григорій Валерійович-
dc.date.accessioned2016-11-12T12:29:47Z-
dc.date.available2016-11-12T12:29:47Z-
dc.date.issued2016-08-
dc.identifier.citationNazarevych O. Information Technology for Monitoring of Municipal Gas Consumption, Based on Additive Model and Correlated for Weather Factors / O. Nazarevych, V. Gotovych, G. Shymchuk. // Journal of Information and Computing Science, ISSN 1746-7659, England, UK. – 2016. – С. pp.180–187uk
dc.identifier.issn1746-7659-
dc.identifier.urihttp://elartu.tntu.edu.ua/handle/123456789/18191-
dc.description.abstractThe present article deals with the practical implementation of information technology for monitoring the gas consumption of the city (regional centers) on the basis of proposals additive model and taking meteorological factors. Justified and suggested automating the monitoring system of gas consumption. The functional diagram of the formation of a database of measurements and framework developed of a database to store statistical data measurement of gas consumption and meteorological factors for interval accumulation hour, day and week.uk
dc.format.extent180-187-
dc.language.isoenuk
dc.publisherJournal of Information and Computing Science, England, UKuk
dc.subjectgas consumptionuk
dc.subjectinformation technology for monitoring of municipal gas consumptionuk
dc.subject“Caterpillar-SSA” methoduk
dc.subjectregression analysisuk
dc.subjectchange-point detection method by Brodsky-Darkhovskyuk
dc.titleInformation Technology for Monitoring of Municipal Gas Consumption, Based on Additive Model and Correlated for Weather Factorsuk
dc.typeArticleuk
dc.format.pages8-
dc.relation.referencesenNazarevych O.B. Separation of annual trend as additive components of time series gas consumption. Bulletin TNTU (Mathematical modeling. Mathematics. Physics). 16(4)(2011) 201-209.uk
dc.relation.referencesenNazarevych O.B. Statistical analysis of the dynamics of gas consumption. Modeling and information technology collected works (Institute of problems modelling in energy NAS of Ukraine named GE Puchov). 61(2011) 37-45.uk
dc.relation.referencesenGolyandina N.E. Analysis of Time Series Structure: SSA and Related Techniques. Boca Raton: Chapman&Hall/CRC. (2000)305.uk
dc.relation.referencesenNazarevych O.B. Computer program - HostLibConverter 1.0. AS the registration of copyright №40120 " Computer program HostLibConverter 1.0" [Text]. (2011).uk
dc.relation.referencesenBrodsky B.E. A nonparametric method for the segmentation of the EEG. Computer Method and Programs in Biomedicine 60(1999)93-106.uk
dc.citation.journalTitleJournal of Information and Computing Science-
dc.citation.volume11-
dc.citation.issue3-
dc.citation.spage180-
dc.citation.epage187-
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