Machine-learning-assisted high-temperature reservoir thermal energy storage optimization

High-temperature reservoir thermal energy storage (HT-RTES) has the potential to become an indispensable component in achieving the goal of the net-zero carbon economy, given its capability to balance the intermittent nature of renewable energy generation. In this study, a machine-learning-assisted...

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Veröffentlicht in:	Renewable energy 2022-07, Vol.197
Hauptverfasser:	Jin, Wencheng, Atkinson, Trevor A., Doughty, Christine, Neupane, Ghanashyam, Spycher, Nicolas, McLing, Travis L., Dobson, Patrick F., Smith, Robert, Podgorney, Robert
Format:	Artikel
Sprache:	eng
Schlagworte:	GEOTHERMAL ENERGY machine learning MATHEMATICS AND COMPUTING multi-objective optimization neural network reservoir thermal energy storage
Online-Zugang:	Volltext
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