1. Türkiye’nin CO2 Emisyonunun Anfis ile Tahmin Edilmesi.
- Author
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ARIK, Oğuzhan Ahmet and HAMAMCIOĞLU, Eda
- Subjects
- *
CARBON dioxide mitigation , *ECONOMIC development , *ENERGY consumption , *FORECASTING , *RENEWABLE energy industry - Abstract
CO2 emissions refer to the release of carbon dioxide gas into the atmosphere, primarily resulting from human activities such as the burning of fossil fuels (coal, oil, natural gas), industrial processes, deforestation, and agriculture. Increasing CO2 levels create a greenhouse effect, leading to global climate change. Turkey is committed to environmental sustainability and combating climate change on both national and international levels. In this context, Turkey has set a Nationally Determined Contribution (NDC) for the 2020-2030 period, aiming to reduce greenhouse gas emissions by 21% compared to 2005 levels by 2030. Turkey’s strategies to reduce CO2 emissions include promoting the transition to renewable energy sources, enhancing energy efficiency, adopting clean technologies in the industrial sector, expanding the use of electric vehicles and public transportation, and supporting sustainable agricultural practices. Under the Paris Agreement, Turkey has committed to limiting global temperature rise to well below 2 degrees Celsius above pre-industrial levels, and to pursue efforts to limit the increase to 1.5 degrees Celsius. This study aims to fill a significant gap by forecasting Turkey's CO2 emissions using the ANFIS (Adaptive Neuro-Fuzzy Inference System) method. By analyzing Turkey’s historical CO2 emission data, this research seeks to predict future emission trends. The results can provide crucial guidance for forming sustainable development strategies, shaping energy policies, and conducting environmental impact assessments. Additionally, the success of the ANFIS model in CO2 emission forecasting can inspire similar studies and contribute significantly to future research in this field. This study emphasizes Turkey’s efforts to reduce CO2 emissions and the importance of forecasting studies using the ANFIS method, while detailing strategies to comply with the commitments of the Paris Agreement. [ABSTRACT FROM AUTHOR]
- Published
- 2024