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This review article discusses the applications of artificial intelligence (AI) in geothermal resource exploration, highlighting its role in improving resource identification efficiency. It details various AI techniques, particularly neural networks, used to analyze subsurface data and predict geothermal potential while addressing challenges such as data quality and accessibility. The integration of AI in geothermal exploration is seen as a promising avenue for enhancing sustainable energy generation through

Author

shnasr

Language

EN