Development of Trend analysis-based Forecast Models for Türkiye’s Fossil Fuel Consumption

Clicks: 25
ID: 287737
2025
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #4 of 38 articles by views in karadeniz fen bilimleri dergisi

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
In this study, trend analysis-based forecast models were developed for Türkiye using total population (TP) and fossil fuel consumption (FFC) as independent and dependent variables from 1965 to 2023. The developed models were then verified by various statistical approaches such as determination coefficient (R2), F – and t tests and predicted vs actual data. Additionally, forecasting accuracies of the developed models were measured using the indicators of mean absolute deviation (MAD), mean square error (MSE), root mean square error (RMSE), uncertainty at 95% (U95), relative root mean square error (RRMSE), maximum absolute relative error (erMAX) and mean absolute percentage error (MAPE). Moreover, Türkiye’s FFC was projected from 2025 to 2035 using the proposed models. The results reveal that the future FFC of Türkiye can be successfully forecasted with one of the proposed models. Furthermore, the forecasting results evidently show that substantial increases are expected in Türkiye's future FFC.
Reference Key
persistent_1760865403_68f4ac7ba51db Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Gökhan Aydın
Journal karadeniz fen bilimleri dergisi
Year 2025
DOI
10.31466/kfbd.1667202
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.