Surrogate model for predicting severe accident progression in nuclear power plant using deep learning methods and Rolling-Window forecast

Research article (Annals of Nuclear Energy, 2024) · cited 17× · AI/ML
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Surrogate model for predicting severe accident progression in nuclear power plant using deep learning methods and Rolling-Window forecast

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Surrogate model for predicting severe accident progression in nuclear power plant using deep learning methods and Rolling-Window forecast is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Surrogate model for predicting severe accident progression in nuclear power plant using deep learning methods and Rolling-Window forecast. Retrieved May 24, 2026, from https://4ort.xyz/entity/surrogate-model-for-predicting-severe-accident-progression-in-nuclear-power-plant-using-deep-learning-methods-and-rollin
MLA “Surrogate model for predicting severe accident progression in nuclear power plant using deep learning methods and Rolling-Window forecast.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/surrogate-model-for-predicting-severe-accident-progression-in-nuclear-power-plant-using-deep-learning-methods-and-rollin.
BibTeX @misc{4ortxyz_surrogate-model-for-predicting-severe-accident-progression-in-nuclear-power-plant-using-deep-learning-methods-and-rollin_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Surrogate model for predicting severe accident progression in nuclear power plant using deep learning methods and Rolling-Window forecast}}, year = {2026}, url = {https://4ort.xyz/entity/surrogate-model-for-predicting-severe-accident-progression-in-nuclear-power-plant-using-deep-learning-methods-and-rollin}, note = {Accessed: 2026-05-24}}
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