MODELING OF CO2 EMISSION STATISTICS in TURKEY BY FUZZY TIME SERIES ANALYSIS

Fatih Çemrek

doi:10.18038/estubtda.1197724

TR EN

MODELING OF CO2 EMISSION STATISTICS in TURKEY BY FUZZY TIME SERIES ANALYSIS

Abstract

The process of determining the values which a time series will receive in the future is a very important concept. The fuzzy time series method has been widely used in recent years as it is more convenient to process data in small samples which are incomplete and/or ambiguous, and it does not contain any assumptions for time series. In this study, fuzzy time series analysis was used to predict CO2 emission values for Turkey. For this purpose, time series (annual) for total greenhouse gas emissions by sectors (CO2 equivalent) between 1990 and 2016 were analyzed. The main goal of this study is to model greenhouse gas emission statistics in Turkey with fuzzy time series analysis.

Keywords

Time Series Analysis, Fuzzy Time Series Analysis, CO2 emission, RMSE, Chen Models, Gustafson-Kessel clustering algorithm.

References

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Details

Primary Language

English

Subjects

-

Journal Section

Research Article

Authors

Fatih Çemrek ^*
0000-0002-6528-7159
Türkiye

Publication Date

March 29, 2023

Submission Date

November 1, 2022

Acceptance Date

February 8, 2023

Published in Issue

Year 2023 Volume: 24 Number: 1

DOI

https://doi.org/10.18038/estubtda.1197724

IZ

https://izlik.org/JA29XE78GR

APA

Çemrek, F. (2023). MODELING OF CO2 EMISSION STATISTICS in TURKEY BY FUZZY TIME SERIES ANALYSIS. Eskişehir Technical University Journal of Science and Technology A - Applied Sciences and Engineering, 24(1), 35-47. https://doi.org/10.18038/estubtda.1197724

AMA

1.Çemrek F. MODELING OF CO2 EMISSION STATISTICS in TURKEY BY FUZZY TIME SERIES ANALYSIS. Estuscience - Se. 2023;24(1):35-47. doi:10.18038/estubtda.1197724

Chicago

Çemrek, Fatih. 2023. “MODELING OF CO2 EMISSION STATISTICS in TURKEY BY FUZZY TIME SERIES ANALYSIS”. Eskişehir Technical University Journal of Science and Technology A - Applied Sciences and Engineering 24 (1): 35-47. https://doi.org/10.18038/estubtda.1197724.

EndNote

Çemrek F (March 1, 2023) MODELING OF CO2 EMISSION STATISTICS in TURKEY BY FUZZY TIME SERIES ANALYSIS. Eskişehir Technical University Journal of Science and Technology A - Applied Sciences and Engineering 24 1 35–47.

IEEE

[1]F. Çemrek, “MODELING OF CO2 EMISSION STATISTICS in TURKEY BY FUZZY TIME SERIES ANALYSIS”, Estuscience - Se, vol. 24, no. 1, pp. 35–47, Mar. 2023, doi: 10.18038/estubtda.1197724.

ISNAD

Çemrek, Fatih. “MODELING OF CO2 EMISSION STATISTICS in TURKEY BY FUZZY TIME SERIES ANALYSIS”. Eskişehir Technical University Journal of Science and Technology A - Applied Sciences and Engineering 24/1 (March 1, 2023): 35-47. https://doi.org/10.18038/estubtda.1197724.

JAMA

1.Çemrek F. MODELING OF CO2 EMISSION STATISTICS in TURKEY BY FUZZY TIME SERIES ANALYSIS. Estuscience - Se. 2023;24:35–47.

MLA

Çemrek, Fatih. “MODELING OF CO2 EMISSION STATISTICS in TURKEY BY FUZZY TIME SERIES ANALYSIS”. Eskişehir Technical University Journal of Science and Technology A - Applied Sciences and Engineering, vol. 24, no. 1, Mar. 2023, pp. 35-47, doi:10.18038/estubtda.1197724.

Vancouver

1.Fatih Çemrek. MODELING OF CO2 EMISSION STATISTICS in TURKEY BY FUZZY TIME SERIES ANALYSIS. Estuscience - Se. 2023 Mar. 1;24(1):35-47. doi:10.18038/estubtda.1197724

MODELING OF CO2 EMISSION STATISTICS in TURKEY BY FUZZY TIME SERIES ANALYSIS

Abstract

Keywords

MODELING OF CO2 EMISSION STATISTICS in TURKEY BY FUZZY TIME SERIES ANALYSIS

Abstract

Keywords

References

Details

Primary Language

Subjects

Journal Section

Authors

Publication Date

Submission Date

Acceptance Date

Published in Issue

DOI

IZ

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