2015
DOI: 10.17811/ebl.4.3.2015.98-107
|View full text |Cite
|
Sign up to set email alerts
|

Complex method of petroleum products demand forecasting considering economic, demographic and technological factors

Abstract: The article describes the new methodology for forecasting demand for petroleum products and specific groups of petroleum products globally and in various countries (nodes) and the results of its application for petroleum products demand forecasting in Russia. The developed methodology incorporates various forecasting approaches: correlation, factor forecasting, technical, economic and econometric analysis with elements of economic and mathematical modelling. This methodology may be used for a wide range of tas… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Year Published

2016
2016
2022
2022

Publication Types

Select...
3
1

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(3 citation statements)
references
References 11 publications
(8 reference statements)
0
3
0
Order By: Relevance
“…To determine future energy demand and demand structure in the Russian transportation sector, the authors used the modeling tools, described in their previous articles .…”
Section: Forecast Methodology Datamentioning
confidence: 99%
See 1 more Smart Citation
“…To determine future energy demand and demand structure in the Russian transportation sector, the authors used the modeling tools, described in their previous articles .…”
Section: Forecast Methodology Datamentioning
confidence: 99%
“…The beneficial factors listed above were formalized and used to calculate the attractiveness factor of new vehicles that depends on fuel costs, infrastructure development and consumer preferences (more on the methodology in the previous papers by the authors . The resulting values are shown in Table .…”
Section: Scenario Assumptionsmentioning
confidence: 99%
“…Third, the excellent forecasting ability of the proposed mathematical framework allows the estimation of the current value of EPIC and thus the current price of energy, overcoming the issue of the non-availability of actual data, while it can also be used to forecast future values of the energy demand accurately. In contrast, the forecasting frameworks in the literature focus on specific energy sectors 17 such as electricity 18 20 , natural gas 21 , crude oil 22 , and petroleum products 23 , with generally much shorter forecasting horizon 17 23 . Finally, it is a quantitative approach to evaluate, design, and optimize different policy questions of significant public interest such as a policy case study for the renewable energy and a policy case study for the crude oil tax.…”
Section: Introductionmentioning
confidence: 99%