Please use this identifier to cite or link to this item:https://hdl.handle.net/20.500.12259/54629
Type of publication: Straipsnis Clarivate Analytics Web of Science ar/ir Scopus / Article in Clarivate Analytics Web of Science or / and Scopus (S1)
Field of Science: Matematika / Mathematics (N001);Energetika ir termoinžinerija / Energy and thermoengineering (T006)
Author(s): Augutis, Juozas;Krikštolaitis, Ričardas;Pečiulytė, Sigita;Žutautaitė, Inga
Title: Dynamic model based on Bayesian method for energy security assessment
Is part of: Energy conversion and management. Amsterdam : Elsevier B.V., 2015, Vol. 101
Extent: p. 66-72
Date: 2015
Keywords: Energetinis saugumas;Dinaminis indikatorių modelis;Bajeso metodas;Energy security;Dynamic indicator model;Bayesian method
Abstract: The methodology for the dynamic indicator model construction and forecasting of indicators for the assessment of energy security level is presented in this article. An indicator is a special index, which provides numerical values to important factors for the investigated area. In real life, models of different processes take into account various factors that are time-dependent and dependent on each other. Thus, it is advisable to construct a dynamic model in order to describe these dependences. The energy security indicators are used as factors in the dynamic model. Usually, the values of indicators are obtained from statistical data. The developed dynamic model enables to forecast indicators’ variation taking into account changes in system configuration. The energy system development is usually based on a new object construction. Since the parameters of changes of the new system are not exactly known, information about their influences on indicators could not be involved in the model by deterministic methods. Thus, dynamic indicators’ model based on historical data is adjusted by probabilistic model with the influence of new factors on indicators using the Bayesian method
Internet: https://doi.org/10.1016/j.enconman.2015.05.002
https://doi.org/10.1016/j.enconman.2015.05.002
Affiliation(s): Informatikos fakultetas
Lietuvos energetikos institutas
Matematikos ir statistikos katedra
Vytauto Didžiojo universitetas
Appears in Collections:Universiteto mokslo publikacijos / University Research Publications

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