Machine learning for forecasting factory concentrations of nitrogen oxides from univariate data exploiting trend attributes
The development of post-processing technology for spent nuclear fuel is essential to ensuring the sustainable growth of nuclear energy. However, post-processing facilities release copious amounts of emissions with high concentrations of nitrogen oxides (NOx), making the accurate measurement of their...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2024-06-01
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| Series: | International Journal of Advanced Nuclear Reactor Design and Technology |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2468605024000413 |
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