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Modeling of Natural Gas Consumption Volumes in China Aided by Machine Learning Methods

Research output: Contribution to journal › Article › peer-review

Department of Economics

DOI

https://doi.org/10.25729/esr.2024.03.0004
Final published version

Irina V. Filimonova
Vasily Yu Nemov
Anastasia P. Samatova
Nikita G. Akopov

Original language	English
Pages (from-to)	30-36
Number of pages	7
Journal	Energy Systems Research
Volume	7
Issue number	3
DOIs	https://doi.org/10.25729/esr.2024.03.0004
Publication status	Published - 25 Nov 2024

OECD FOS+WOS

Research areas

forecasting, gradient boosting, machine learning, natural gas, random forest

ID: 68216201