| Autor: |
Puppala, Harish, Saikia, Pallabi, Kocherlakota, Pritam, Suriapparao, Dadi V. |
| Zdroj: |
International Journal of Thermofluids; February 2023, Vol. 17 Issue: 1 |
| Abstrakt: |
•Extractable temperature from Puga reservoir is estimated using neural networks.•Network models are trained using the data obtained from TH coupled simulations.•Sensitivity of model's performance to change in architecture is studied.•RNN models showed relatively the best performance than CNN and DNN. |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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