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August 11, 2025Applied SciencesOpen Access

Artificial Intelligence-Driven Identification of Favorable Geothermal Sites Based on Radioactive Heat Production: Case Study from Western Türkiye

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Authors

EİElif Meriç İlkimenCÇCihan ÇolakMVMahrad Pisheh Var

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Overview

Artificial intelligence identifies geothermal energy potential in Türkiye, indicating advanced clustering techniques improve exploration.

Key Points

  • AI models accurately pinpoint geothermal sites, enhancing resource identification and exploration efforts.
  • Among tested methods, Density-Based Spatial Clustering and Autoencoder-Based Deep Clustering showed superior performance.
  • This approach combines on-site data measurements and AI to assess geothermal production potential reliably.
  • Findings align closely with historical data from drilling sites and earthquake distributions, providing valid insights.

Cite This Study

İlkimen et al. (2025) studied this question.

synapsesocial.com/papers/68a360e00a429f7973329533https://doi.org/10.3390/app15147842
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