GNGTS 2024 - Atti del 42° Convegno Nazionale

Session 3.1 GNGTS 2024 Figure 2. LSTM producton temperatures forecastng versus simulated ones obtained by curriculum-learning (a) and non-curriculum (b) strategies. On the lef the results refer to the synthetc scenarios and on the right to the Cesano area case study. References Alimont, C., Berardi, D., Bocchet, D., & Soldo, E. (2016). Coupling of energy conversion systems and wellbore heat exchanger in a depleted oil well. Geothermal Energy , 4 (1), 11. htps:// doi.org/10.1186/s40517-016-0053-9 Alimont, C., & Soldo, E. (2016). Study of geothermal power generaton from a very deep oil well with a wellbore heat exchanger. Renewable Energy , 86 , 292–301. htps://doi.org/10.1016/ j.renene.2015.08.031 Chen, S., Zhang, Q., Andrews-Speed, P., & Mclellan, B. (2020). Quanttatve assessment of the environmental risks of geothermal energy: A review. Journal of Environmental Management , 276 , 111287. htps://doi.org/10.1016/j.jenvman.2020.111287 DiPippo, R. (2007). Ideal thermal efciency for geothermal binary plants. Geothermics , 36 (3), 276– 285. htps://doi.org/10.1016/j.geothermics.2007.03.002