 How to Predict Energy Consumption in BRICS Countries?Atif Khan () and Magdalena Osinska Energies, 2021, vol. 14, issue 10, 1-21 Abstract: Brazil, Russia, China, India, and the Republic of South Africa (BRICS) represent developing economies facing different energy and economic development challenges. The current study aims to predict energy consumption in BRICS at aggregate and disaggregate levels using the annual time series data set from 1992 to 2019 and to compare results obtained from a set of models. The time-series data are from the British Petroleum (BP-2019) Statistical Review of World Energy. The forecasting methodology bases on a novel Fractional-order Grey Model ( FGM ) with different order parameters. This study contributes to the literature by comparing the forecasting accuracy and the predictive ability of the F G M 1 , 1 with traditional ones, like standard G M 1 , 1 and A R I M A 1 , 1 , 1 models. Moreover, it illustrates the view of BRICS’s nexus of energy consumption at aggregate and disaggregates levels using the latest available data set, which will provide a reliable and broader perspective. The Diebold-Mariano test results confirmed the equal predictive ability of F G M 1 , 1 for a specific range of order parameters and the A R I M A 1 , 1 , 1 model and the usefulness of both approaches for energy consumption efficient forecasting. Keywords: energy consumption; BRICS; GM (1, 1), fractional-order; GREY; forecasting accuracy (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:14:y:2021:i:10:p:2749-:d:552329 Access Statistics for this article Energies is currently edited by Ms. Agatha Cao More articles in Energies from MDPI |
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