Heterogeneous ensemble prediction model of CO emission concentration in municipal solid waste incineration process using virtual data and real data hybrid-driven-Reference-Cited by-同舟云学术

Heterogeneous ensemble prediction model of CO emission concentration in municipal solid waste incineration process using virtual data and real data hybrid-driven

Published:2024-03 Issue: Volume:445 Page:141313
ISSN:0959-6526
Container-title:Journal of Cleaner Production
language:en
Short-container-title:Journal of Cleaner Production

Author:

Zhang Runyu,Tang Jian^ORCID,Xia Heng,Chen Jiakun,Yu Wen,Qiao Junfei

Funder

National Natural Science Foundation of China

Natural Science Foundation of Beijing Municipality

Beijing Municipal Natural Science Foundation

National Key Research and Development Program of China

Publisher

Elsevier BV

Reference37 articles.

1. Calcium looping process simulation based on an advanced thermodynamic model combined with CFD analysis;Atsonios;Fuel,2015

2. A machine learning approach to predict air quality in California;Castelli;Complex,2020

3. Statistical modelling for the prediction and control of PCDDs and PCDFs emissions from municipal solid waste incinerators;Chang;Waste Manag. Res.,1995

4. Modelling the furnace temperature field of a municipal solid waste incinerator using the numerical simulation and the deep forest regression algorithm;Chen;Fuel,2023

5. A non-manipulated variable analysis of solid-phase combustion in the furnace of municipal solid-waste incineration process based on the biorthogonal numerical-simulation experiment;Chen;Sustainability,2023

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Data-driven multi-objective intelligent optimal control of municipal solid waste incineration process;Engineering Applications of Artificial Intelligence;2024-11

2. Intelligent prediction of incipient fault in vinyl chloride production process based on deep learning;Journal of Cleaner Production;2024-09

3. Waste tire valorization: Advanced technologies, process simulation, system optimization, and sustainability;Science of The Total Environment;2024-09

4. Intelligent technologies powering clean incineration of municipal solid waste: A system review;Science of The Total Environment;2024-07