Forecasting of carbon dioxide emissions from power plants in Kuwait using United States Environmental Protection Agency, Intergovernmental panel on climate change, and machine learning methods-Reference-Cited by-同舟云学术

Forecasting of carbon dioxide emissions from power plants in Kuwait using United States Environmental Protection Agency, Intergovernmental panel on climate change, and machine learning methods

Published:2022-05 Issue: Volume:191 Page:819-827
ISSN:0960-1481
Container-title:Renewable Energy
language:en
Short-container-title:Renewable Energy

Author:

AlKheder Sharaf,Almusalam Ali

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference17 articles.

1. Molecular modeling of carbon dioxide adsorption in metal-organic frameworks;Zhang,2018

2. Sources of Greenhouse Gas Emissions;USEPA,2018

3. Energy-related carbon dioxide emissions worldwide. (2020, 2 13);Ian Tiseo;Statista,2020

4. Kuwait Population;Worldometer,2021

5. Statistical Yearbook;MEW,2019

Cited by 31 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. Carbon emissions forecasting based on tensor decomposition with multi-source data fusion;Information Sciences;2024-10

2. An innovative bio-inspired Aquila technique for efficient solution of combined power and heat economic dispatch problem;Scientific Reports;2024-09-04

3. Artificial Intelligence in Net-Zero Carbon Emissions for Sustainable Building Projects: A Systematic Literature and Science Mapping Review;Buildings;2024-09-02

4. A tracking control method for electricity-carbon emission forecasting;Heliyon;2024-09

5. Reservoir Facies Heterogeneity Characterization: An Implication for Carbon Dioxide (CO2) Geo Sequestration Site Selection in the Akos Field Coastal Swamps Niger Delta;SPE Nigeria Annual International Conference and Exhibition;2024-08-05