Application of various machine learning algorithms in view of predicting the CO2 emissions in the transportation sector

Application of various machine learning algorithms in view of predicting the CO2 emissions in the transportation sector

This study applies three different artificial intelligence algorithms (Multi-layer Perceptron (MLP), Extreme Gradient Boosting (XGBoost), and Support Vector Machine (SVM)) to estimate CO2 emissions in Türkiye’s transportation sector. The input parameters considered are Energy consumption (ENERGY), V...

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Bibliographic Details
Main Authors: Çınarer Gökalp, Yeşilyurt Murat Kadir, Ağbulut Ümit, Yılbaşı Zeki, Kılıç Kazım
Format: Article
Language:English
Published: EDP Sciences 2024-01-01
Series:Science and Technology for Energy Transition
Subjects:
co2 emissions
transportation sector
artificial intelligence
machine learning algorithm
statistical indicators
Online Access:https://www.stet-review.org/articles/stet/full_html/2024/01/stet20240008/stet20240008.html

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https://www.stet-review.org/articles/stet/full_html/2024/01/stet20240008/stet20240008.html

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