Deep learning method based on graph neural network for performance prediction of supercritical CO2 power systems

Research article (Applied Energy, 2022) · cited 32× · AI/ML
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Deep learning method based on graph neural network for performance prediction of supercritical CO2 power systems

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Deep learning method based on graph neural network for performance prediction of supercritical CO2 power systems is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Deep learning method based on graph neural network for performance prediction of supercritical CO2 power systems. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-learning-method-based-on-graph-neural-network-for-performance-prediction-of-supercritical-co2-power-systems
MLA “Deep learning method based on graph neural network for performance prediction of supercritical CO2 power systems.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-learning-method-based-on-graph-neural-network-for-performance-prediction-of-supercritical-co2-power-systems.
BibTeX @misc{4ortxyz_deep-learning-method-based-on-graph-neural-network-for-performance-prediction-of-supercritical-co2-power-systems_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep learning method based on graph neural network for performance prediction of supercritical CO2 power systems}}, year = {2026}, url = {https://4ort.xyz/entity/deep-learning-method-based-on-graph-neural-network-for-performance-prediction-of-supercritical-co2-power-systems}, note = {Accessed: 2026-05-24}}
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