Prediction of CO <sub>2</sub> emission for the central European countries through five metaheuristic optimization techniques helping multilayer perceptron-Reference-Cited by-同舟云学术

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Prediction of CO ₂ emission for the central European countries through five metaheuristic optimization techniques helping multilayer perceptron

Published:2024-04-06 Issue:1 Volume:18 Page:
ISSN:1994-2060
Container-title:Engineering Applications of Computational Fluid Mechanics
language:en
Short-container-title:Engineering Applications of Computational Fluid Mechanics

Author:

Moayedi Hossein¹²,Mukhtar Azfarizal³,Alshammari Serhan⁴,Boujelbene Mohamed⁴,Elbadawi Isam⁴,Thi Quynh T¹²,Mirzaei Mojtaba⁵

Affiliation:

1. Institute of Research and Development, Duy Tan University, Da Nang, Vietnam

2. School of Engineering & Technology, Duy Tan University, Da Nang, Vietnam

3. Institute of Sustainable Energy, Universiti Tenaga Nasional, Kajang, Malaysia

4. Department of Industrial Engineering, College of Engineering, University of Ha’il, Ha’il, Saudi Arabia

5. Energy Institute of Higher Education, Saveh, Iran

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/19942060.2024.2327437

Reference88 articles.

1. Modelling carbon emission intensity: Application of artificial neural network

2. Application of the multi-objective optimization method for designing a powered Stirling heat engine: Design with maximized power, thermal efficiency and minimized pressure loss

3. An optimized neuro-fuzzy system using advance nature-inspired Aquila and Salp swarm algorithms for smart predictive residual and solubility carbon trapping efficiency in underground storage formations

4. The Global Carbon Footprint and How New Carbon Mineralization Technologies Can Be Used to Reduce CO2 Emissions

5. Baareh A. K. (2013). Solving the carbon dioxide emission estimation problem: An artificial neural network model.

Cited by 2 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 metaheuristic Multi-Objective optimization of energy and environmental performances of a Waste-to-Energy system based on waste gasification using particle swarm optimization;Energy Conversion and Management;2024-10

2. Improve carbon dioxide emission prediction in the Asia and Oceania (OECD): nature-inspired optimisation algorithms versus conventional machine learning;Engineering Applications of Computational Fluid Mechanics;2024-08-23

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