Predicting nuclear power plant operational parameters using clustering and mutual information for feature selection and Transformer neural network optimized by TPE
IntroductionIn the domain of nuclear power plant operations, accurately and rapidly predicting future states is crucial for ensuring safety and efficiency. Data-driven methods are becoming increasingly important for nuclear power plant parameter forecasting. While Transformer neural networks have em...
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| Autori principali: | , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Frontiers Media S.A.
2024-12-01
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| Serie: | Frontiers in Energy Research |
| Soggetti: | |
| Accesso online: | https://www.frontiersin.org/articles/10.3389/fenrg.2024.1462184/full |
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