Soft sensor for the prediction of oxygen content in boiler flue gas using neural networks and extreme gradient boosting
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-022-07771-8.pdf
Reference48 articles.
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2. Lutterbeck CA, da Silveira Garcia D, Colares GS, Kist LT, Machado ÊL (2021) Environmental and economic impacts associated with the use of boilers of a steam generator system at a tobacco manufacturing industry. Environ Challenges 5:100323. https://doi.org/10.1016/j.envc.2021.100323
3. Taler D, Dzierwa P, Kaczmarski K, Taler J (2022) Increase the flexibility of steam boilers by optimisation of critical pressure component heating. Energy 250:123855. https://doi.org/10.1016/j.energy.2022.123855
4. Ma L, Zuo X, Wang Y (2019) Boiler oxygen optimization based on double-hidden-layer bp neural network and improved pso algorithm. In: 1st International conference on industrial artificial intelligence, IAI 2019. https://doi.org/10.1109/ICIAI.2019.8850735
5. Wang YF et al (2021) Fuzzy modeling of boiler efficiency in power plants. Inform Sci 542:391–405. https://doi.org/10.1016/j.ins.2020.06.064
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