August 6, 2025PLoS ONEOpen Access

Strategic forecasting of renewable energy production for sustainable electricity supply: A machine learning approach considering environmental, economic, and oil factors in Türkiye

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Machine learning determines renewable energy production rates in Türkiye, suggesting improvements for sustainable electricity supply.

Machine learning algorithms were employed to predict renewable energy production in Türkiye.
The random forest algorithm achieved the lowest mean absolute percentage error (0.084%) in its predictions.
Fifteen variables related to oil, environment, and economy were analyzed to enhance forecasting accuracy.
This forecasting approach supports strategic planning for future electricity needs and promotes environmental sustainability.

Atalan et al. (2025) studied this question.

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