CO emission predictions in municipal solid waste incineration based on reduced depth features and long short-term memory optimization

Author:

Zhang Runyu,Tang JianORCID,Xia Heng,Pan Xiaotong,Yu Wen,Qiao Junfei

Funder

National Key Research and Development Program of China

Innovative Research Group Project of the National Natural Science Foundation of China

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Reference55 articles.

1. Gómez-Sanabria A, Kiesewetter G, Klimont Z, Schoepp W, Haberl H (2022) Potential for future reductions of global GHG and air pollutants from circular waste management systems. Nat Commun 13(1):106

2. Chen A, Chen JR, Cui J, Fan C, Han W (2019) Research on risks and countermeasures of “cities besieged by waste” in China-an empirical analysis based on DIIS. Bull Chin Acad Sci 34(7):797–806

3. Tang J, Xia H, Yu W, Qiao JF (2023) Research status and prospects of intelligent optimization control for municipal solid waste incineration process. Acta Autom Sin. https://doi.org/10.16383/j.aas.c220810

4. Vilardi G, Verdone N (2022) Exergy analysis of municipal solid waste incineration processes: the use of O2-enriched air and the oxy-combustion process. Energy 239:122147

5. Xia H, Tang J, Aljerf L, Wang TZ, Qiao JF, Xu Q, Ukaogo P (2023) Investigation on dioxins emission characteristic during complete maintenance operating period of municipal solid waste incineration. Environ Pollut 318:120949

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