Optimization of an eco-friendly municipal solid waste-to-multi-generation energy scheme integrated by MSW gasification and HSOFC: Regression analysis and machine learning study-Reference-Cited by-同舟云学术

Optimization of an eco-friendly municipal solid waste-to-multi-generation energy scheme integrated by MSW gasification and HSOFC: Regression analysis and machine learning study

Published:2024-02 Issue: Volume:182 Page:166-175
ISSN:0957-5820
Container-title:Process Safety and Environmental Protection
language:en
Short-container-title:Process Safety and Environmental Protection

Author:

Xu Weiyan,Tu Jielei,Xu Ning

Publisher

Elsevier BV

Subject

Safety, Risk, Reliability and Quality,General Chemical Engineering,Environmental Chemistry,Environmental Engineering

Reference68 articles.

1. Waste to energy spatial suitability analysis using hybrid multi-criteria machine learning approach;Al-Ruzouq;Environ. Sci. Pollut. Res.,2022

2. Forecasting liquidated damages via machine learning-based modified regression models for highway construction projects;Alshboul;Sustainability,2022

3. Low-thrust reconfiguration strategy and optimization for formation flying using Jordan normal form;Bai;IEEE Trans. Aerosp. Electron. Syst.,2021

4. Sustainable and long-term management of municipal solid waste: a review;Bello;Bioresour. Technol. Rep.,2022

5. Scientometric review of proton-conducting solid oxide fuel cells;Bello;Int. J. Hydrog. Energy,2021

Cited by 8 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. A state-of-the-art review on machine learning based municipal waste to energy system;Cleaner Energy Systems;2024-12

2. Environmental protection and sustainable waste-to-energy scheme through plastic waste gasification in a combined heat and power system;Process Safety and Environmental Protection;2024-10

3. Design, economic analysis, and environmental assessment of an innovative municipal solid waste-based multigeneration system integrating LNG cold utilization and seawater desalination;Desalination;2024-10

4. Sustainable freshwater/energy supply through geothermal-centered layout tailored with humidification-dehumidification desalination unit; Optimized by regression machine learning techniques;Energy;2024-09

5. Featuring Machine Learning in Municipal Solid Waste Management;Practice, Progress, and Proficiency in Sustainability;2024-08-02