Published April 2021 | Version v1
Journal article

Modelling and forecasting the oil consumptions of the BRICS-T countries

  • 1. Mining Engineering Department, Karadeniz Technical University, Trabzon, 61080 (Turkey)

Description

Highligths• The oil consumptions of the BRICS-T countries were modelled. • All developed models were verified by the various statistical tests. • The performance measures of the proposed models showed high prediction accuracies. • The results revealed that the proposed models have strong practical applications. • The oil consumptions of the BRICS-T countries are forecasted for the next years. Oil's widespread use in many economic activities has made it as one of the world's most promising energy sources. It can drive or hinder economic development of a country based on its production and consumption. Given these facts, modeling and forecasting the oil consumption by region or a country becomes meaningful. Therefore, regression models were developed to forecast the future oil consumptions of the BRICS-T countries as emerging and growing economies using the time series of variables from 1965 to 2019 in this study. Then, the proposed models were verified through various statistical approaches including determination coefficient, F-and t-tests and predicted versus actual data. The governing variables on the oil consumptions were also determined statistically. Moreover, the forecasting performances of the proposed models were measured by error analysis of MAPE, RMSE, MAD, and PER. Furthermore, the future oil consumptions for the next 5, 10, 15 and 20 years were projected by the proposed models. The modeling results revealed that the proposed models could provide useful information for the scholars, policymakers and others stakeholders. Additionally, the forecasting results pointed out that the total oil consumptions of the BRICS-T countries in the next two decades would be increased by 70%.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.energy.2020.119720

Additional details

Identifiers

DOI
10.1016/j.energy.2020.119720;
PII
S0360544220328279;

Publishing Information

Journal Title
Energy (Oxford)
Journal Volume
220
Journal Page Range
vp.
ISSN
0360-5442
CODEN
ENEYDS

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
53123609
Subject category
S29: ENERGY PLANNING, POLICY AND ECONOMY; S02: PETROLEUM;
Descriptors DEI
COMPUTERIZED SIMULATION; ECONOMIC DEVELOPMENT; ECONOMY; ENERGY SOURCES; ERRORS; OILS; PERFORMANCE
Descriptors DEC
ORGANIC COMPOUNDS; OTHER ORGANIC COMPOUNDS; SIMULATION

Optional Information

Copyright
Copyright (c) 2020 Elsevier Ltd. All rights reserved.