Conference proceedings

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CEST Proceedings are published under the ISSN 2944-9820.

A Machine Learning Approach for the prediction of solid fuels consumption in Turkey

Celik N., (Corresponding) Konyalioglu A.
Topic: 
Environmental data analysis and modelling
Solid fuels are very crucial energy sources as most of industries use them for obtaining heat, electricity and light. Furthermore, since solid fuels are scarce sources in Turkey, it is very important to forecast the consumption in order to effectively manage the energy policies and to conduct an...Read more
Keywords: 
Solid Fuels, Environmental Data Analysis, Machine Learning
Paper ID: 
cest2023_00118