Abdulhaq, H.A.; Geiger, J.; Vass, I.; Tóth, T.M.; Medgyes, T.; Bozsó, G.; Kóbor, B.; Kun, É.; Szanyi, J.
Predicting Thermal Performance of Aquifer Thermal Energy Storage Systems in Depleted Clastic Hydrocarbon Reservoirs via Machine Learning: Case Study from Hungary. Energies 2025, 18, 2642.
https://doi.org/10.3390/en18102642
AMA Style
Abdulhaq HA, Geiger J, Vass I, Tóth TM, Medgyes T, Bozsó G, Kóbor B, Kun É, Szanyi J.
Predicting Thermal Performance of Aquifer Thermal Energy Storage Systems in Depleted Clastic Hydrocarbon Reservoirs via Machine Learning: Case Study from Hungary. Energies. 2025; 18(10):2642.
https://doi.org/10.3390/en18102642
Chicago/Turabian Style
Abdulhaq, Hawkar Ali, János Geiger, István Vass, Tivadar M. Tóth, Tamás Medgyes, Gábor Bozsó, Balázs Kóbor, Éva Kun, and János Szanyi.
2025. "Predicting Thermal Performance of Aquifer Thermal Energy Storage Systems in Depleted Clastic Hydrocarbon Reservoirs via Machine Learning: Case Study from Hungary" Energies 18, no. 10: 2642.
https://doi.org/10.3390/en18102642
APA Style
Abdulhaq, H. A., Geiger, J., Vass, I., Tóth, T. M., Medgyes, T., Bozsó, G., Kóbor, B., Kun, É., & Szanyi, J.
(2025). Predicting Thermal Performance of Aquifer Thermal Energy Storage Systems in Depleted Clastic Hydrocarbon Reservoirs via Machine Learning: Case Study from Hungary. Energies, 18(10), 2642.
https://doi.org/10.3390/en18102642
