Advancing fractured geothermal system modeling with artificial neural network and bidirectional gated recurrent unit
Geothermal energy plays a pivotal role in the global energy transition towards carbon-
neutrality, providing a sustainable, renewable, and abundant source of clean energy in the …
neutrality, providing a sustainable, renewable, and abundant source of clean energy in the …
Theoretical analysis of using multiple borehole heat exchangers for production of heating and cooling energy in shallow geothermal reservoirs with underground …
AL Brettschneider, L Perković - Applied thermal engineering, 2024 - Elsevier
In this work the feasibility of using the double-U borehole heat exchangers (BHE) in multiple
arrangements for production of heating and cooling energy has been investigated …
arrangements for production of heating and cooling energy has been investigated …
Application of machine learning and deep learning in geothermal resource development: Trends and perspectives
A Al‐Fakih, A Abdulraheem… - … Underground Science and …, 2024 - Wiley Online Library
This study delves into the latest advancements in machine learning and deep learning
applications in geothermal resource development, extending the analysis up to 2024. It …
applications in geothermal resource development, extending the analysis up to 2024. It …
[HTML][HTML] Artificial intelligence applications for accurate geothermal temperature prediction in the lower Friulian Plain (north-eastern Italy)
Geothermal energy as a sustainable and clean energy source depends on the accurate
estimation of reservoir temperatures. Understanding aquifer temperatures is crucial for …
estimation of reservoir temperatures. Understanding aquifer temperatures is crucial for …
[HTML][HTML] Energy systems enhancement and optimization
P Prajapat, V Patel - International Journal of Thermofluids, 2024 - Elsevier
This special issue of International Journal of Thermofluids encapsulates fascinating
research articles focused primarily on enhancement of energy systems for efficient heat …
research articles focused primarily on enhancement of energy systems for efficient heat …
Geothermal Heat Exchanger's Temperature Input Sensor Prediction Based on Deep Learning Modelling Technique
P Oliveira, P Arcano-Bea, FS Marcondes… - … Computing and Artificial …, 2024 - Springer
The goal of this study was to test many models in order to check which one better predicted
the heat exchanger of a bioclimatic building. A number of regression models, pre-processing …
the heat exchanger of a bioclimatic building. A number of regression models, pre-processing …