Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/52909
Type of publication: Straipsnis konferencijos medžiagoje Clarivate Analytics Web of Science ar/ir Scopus / Article in Clarivate Analytics Web of Science or Scopus DB conference proceedings (P1a)
Field of Science: Energetika ir termoinžinerija / Energy and thermoengineering (T006)
Author(s): Augutis, Juozas;Krikštolaitis, Ričardas;Pečiulytė, Sigita;Žutautaitė, Inga
Contributor(s): Lutynska, Anna Ewa
Title: Evaluation of coefficients for an energy security indicators system
Is part of: SAFE - 2013 : 5th international conference on safety and security engineering, 18-19 Sep. 2013, Rome / edited by F. Garzia; C. A. Brebbia; M. Guarascio. Southampton : Wit press, 2013
Extent: p. 101-112
Date: 2013
Series/Report no.: (WIT transactions on the built environment, Vol. 134 1746-4498)
Note: eISBN: 978-1-84564-745-2
Keywords: Energijos tiekimo saugumas;Diferencialinės lygtys;Bajeso metodas;Energy supply security;Differential equations;Bayesian approach
ISBN: 9781845647445
Abstract: A sufficient security level of energy supply is vital to the functioning of modern economy since reliable supply is necessary to ensure industrial activities and satisfy population needs. In our previous papers (Lithuanian energy security level assessment based on indicator dependence (2011), Dynamic model for energy security level assessment (2012)) there was constructed a system of energy security indicators for the investigation of the Lithuanian energy security level. A security indicator is a special index which provides numerical values to important issues for the security of energy sector. Further, a dynamic indicator model, which includes interdependencies between indicators, was created for assessment of the energy security level. This model enables us to forecast the Lithuanian energy security level according to different development scenarios, such as a building of liquefied natural gas (LNG) terminal, electricity connection between Sweden and Lithuania (NordBalt), etc. Since technical parameters of new objects are not exactly known; their influence on indicators are expressed as random variables with known probabilistic distributions. A security indicators model based on historic data is adjusted by a probabilistic model of LNG or NordBalt influence on indicators using the Bayesian approach. The purpose of this paper is to evaluate the coefficients in a dynamic model of indicators for energy security level assessment. These coefficients are calculated in two ways: using algebraic and least square methods. This paper presents the dynamic indicator model, calculation methods of coefficients of indicators equations system and pilot calculations
Internet: http://www.witpress.com/Secure/elibrary/papers/SAFE13/SAFE13010FU1.pdf
http://www.witpress.com/Secure/elibrary/papers/SAFE13/SAFE13010FU1.pdf
Affiliation(s): Gamtos mokslų fakultetas
Informatikos fakultetas
Matematikos ir statistikos katedra
Vytauto Didžiojo universitetas
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

Files in This Item:
marc.xml13.46 kBXMLView/Open

MARC21 XML metadata

Show full item record

Page view(s)

132
checked on Nov 2, 2019

Download(s)

10
checked on Nov 2, 2019

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.