Fossil Energy Consumption Prediction Using Machine Learning for Sustainability

Erdoğan H., Akar N., Tosun Ö.

4th Economics, Business and Organization Research (EBOR) Conference, Warszawa, Poland, 21 - 23 May 2021, (Summary Text)

  • Publication Type: Conference Paper / Summary Text
  • City: Warszawa
  • Country: Poland
  • Akdeniz University Affiliated: Yes

Abstract

Renewable energy consumption and green production are some of the important aspects of the sustainability in modern production environment. Although most of our energy production comes from fossil fuel energy, the percentage of renewable types of energy is increasing in each day. By using different factors, the demand of the fossil energy consumption will be analyzed in this paper for G20 countries. Using different machine learning algorithms, a forecasting methodology will be developed and the correlations between renewal and fossil energy usage will be determined.

Keywords: Sustainable energy, demand forecasting, machine learning