Predicting terrestrial heat flow in Egypt using random forest regression: a machine learning approach

Predicting terrestrial heat flow in Egypt using random forest regression: a machine learning approach

Abstract This work aims to create a machine-learning model that can contribute to a comprehensive understanding of Egypt's terrestrial heat flow distribution. The model is based on the random forest regression method, with a sparsely distributed dataset of heat flow measurements. The model is t...

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Bibliographic Details
Main Authors: Ahmed Mohamed Bekhit, Mohamed Sobh, Mohamed Abdel Zaher, Tharwat Abdel Fattah, Ahmed I. Diab
Format: Article
Language:English
Published: SpringerOpen 2025-04-01
Series:Geothermal Energy
Subjects:
Geothermal
Terrestrial heat flow (THF)
Machine learning
Random forest regression
Egypt
Online Access:https://doi.org/10.1186/s40517-025-00341-w
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https://doi.org/10.1186/s40517-025-00341-w

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