Forecasting East and West Coast Gasoline Prices with Tree-Based Machine Learning Algorithms

Forecasting East and West Coast Gasoline Prices with Tree-Based Machine Learning Algorithms

This study aims to forecast New York and Los Angeles gasoline spot prices on a daily frequency. The dataset includes gasoline prices and a big set of 128 other relevant variables spanning the period from 17 February 2004 to 26 March 2022. These variables were fed to three tree-based machine learning...

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Autors principals: Emmanouil Sofianos, Emmanouil Zaganidis, Theophilos Papadimitriou, Periklis Gogas
Format: Article
Idioma:English
Publicat: MDPI AG 2024-03-01
Col·lecció:Energies
Matèries:
gasoline
decision tree
random forest
XGBoost
machine learning
forecasting
Accés en línia:https://www.mdpi.com/1996-1073/17/6/1296

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https://www.mdpi.com/1996-1073/17/6/1296

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