File:Forecasting of energy consumption by G20 countries using an adjacent accumulation grey model.pdf

Page contents not supported in other languages.
This is a file from the Wikimedia Commons
Source: Wikipedia, the free encyclopedia.
Go to page
next page →
next page →
next page →

Original file(1,239 × 1,629 pixels, file size: 3.94 MB, MIME type: application/pdf, 23 pages)

Summary

Description
English: This paper studies an adjacent accumulation discrete grey model to improve the prediction of the grey model and enhance the utilization of new data. The impact of COVID-19 on the global economy is also discussed. Two cases are discussed to prove the stability of the adjacent accumulation discrete grey model, which helped the studied model attain higher forecasting accuracy. Using the adjacent accumulation discrete grey model, non-renewable energy consumption in G20 countries from 2022 to 2026 is predicted based on their consumption data from 2011 to 2021. It is proven that the adjacent accumulation exhibits sufficient accuracy and precision. Forecasting results obtained in this paper show that energy consumption of all the non-renewable sources other than coal has an increasing trend during the forecasting period, with the USA, Russia, and China being the biggest consumers. Natural gas is the most consumed non-renewable energy source between 2022 and 2026, whereas hydroelectricity is the least consumed. The USA is the biggest consumer of Nuclear energy among the G20 countries, whereas Argentina consumed only 0.1 Exajoules of nuclear energy, placing it at the end of nuclear energy consumers.
Date
Source https://www.nature.com/articles/s41598-022-17505-4
Author Ijlal Raheem, Nabisab Mujawar Mubarak, Rama Rao Karri, T. Manoj, Sobhy M. Ibrahim, Shaukat Ali Mazari & Sabzoi Nizamuddin

doi:10.1038/s41598-022-17505-4

Licensing

w:en:Creative Commons
attribution
This file is licensed under the Creative Commons Attribution 4.0 International license.
You are free:
  • to share – to copy, distribute and transmit the work
  • to remix – to adapt the work
Under the following conditions:
  • attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.

Captions

Forecasting of energy consumption by G20 countries using an adjacent accumulation grey model

Items portrayed in this file

depicts

4 August 2022

application/pdf

File history

Click on a date/time to view the file as it appeared at that time.

Date/TimeThumbnailDimensionsUserComment
current07:00, 14 August 2022Thumbnail for version as of 07:00, 14 August 20221,239 × 1,629, 23 pages (3.94 MB)KoavfUploaded a work by Ijlal Raheem, Nabisab Mujawar Mubarak, Rama Rao Karri, T. Manoj, Sobhy M. Ibrahim, Shaukat Ali Mazari & Sabzoi Nizamuddin from https://www.nature.com/articles/s41598-022-17505-4 with UploadWizard
No pages on the English Wikipedia use this file (pages on other projects are not listed).

Metadata