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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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-04-01
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| Series: | Geothermal Energy |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40517-025-00341-w |
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