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Original Article
Prediction and Optimization of Carbon Footprint
Mohd. Tauqeer Ahmed1
Fatima Maryam Khan2
1Student, MCA, Deccan College of Engineering and Technology, Hyderabad, Telangana, India. 2Assistant Professor, MCA, Deccan College of Engineering and Technology, Hyderabad, Telangana, India.
Published Online: September-October 2025
Pages: 01-06
Cite this article
↗ https://www.doi.org/10.59256/ijrtmr.20250505001
References
1. Intergovernmental Panel on Climate Change (IPCC), Climate Change 2021: The Physical Science Basis. Cambridge, U.K.: Cambridge Univ. Press, 2021.
2. P. Friedlingstein, et al., “Global Carbon Budget 2022,” Earth System Science Data, vol. 14, no. 11, pp. 4811–4900, 2022.
3. G. Myhre, et al., “Anthropogenic and Natural Radiative Forcing,” in Climate Change 2013: The Physical Science Basis. Cambridge, U.K.: Cambridge Univ. Press, 2013.
4. H. Ritchie and M. Roser, “CO₂ and Greenhouse Gas Emissions,” Our World in Data, 2023. [Online]. Available: https://ourworldindata.org/co2-and-other-greenhouse-gas-emissions
5. U.S. Environmental Protection Agency (EPA), Inventory of U.S. Greenhouse Gas Emissions and Sinks: 1990–2020. EPA 430-R-22-003, 2022.
6. R. Wang, et al., “A review of carbon footprint analysis methodologies for buildings,” Renewable and Sustainable Energy Reviews, vol. 103, pp. 108–120, 2019.
7. Z. Liu, et al., “A low-carbon road map for China,” Nature, vol. 529, no. 7587, pp. 21–23, 2016.
8. B. Zheng, et al., “Forecasting CO₂ emissions using time series and machine learning techniques,” Journal of Cleaner Production, vol. 308, p. 127282, 2021.
9. X. Tan, et al., “Optimization strategies for CO₂ emission reduction in manufacturing industries,” Journal of Environmental Management, vol. 255, p. 109848, 2020.
10. D. P. van Vuuren, et al., “The role of data science in achieving net-zero emissions,” Nature Climate Change, vol. 11, pp. 90–92, 2021.
2. P. Friedlingstein, et al., “Global Carbon Budget 2022,” Earth System Science Data, vol. 14, no. 11, pp. 4811–4900, 2022.
3. G. Myhre, et al., “Anthropogenic and Natural Radiative Forcing,” in Climate Change 2013: The Physical Science Basis. Cambridge, U.K.: Cambridge Univ. Press, 2013.
4. H. Ritchie and M. Roser, “CO₂ and Greenhouse Gas Emissions,” Our World in Data, 2023. [Online]. Available: https://ourworldindata.org/co2-and-other-greenhouse-gas-emissions
5. U.S. Environmental Protection Agency (EPA), Inventory of U.S. Greenhouse Gas Emissions and Sinks: 1990–2020. EPA 430-R-22-003, 2022.
6. R. Wang, et al., “A review of carbon footprint analysis methodologies for buildings,” Renewable and Sustainable Energy Reviews, vol. 103, pp. 108–120, 2019.
7. Z. Liu, et al., “A low-carbon road map for China,” Nature, vol. 529, no. 7587, pp. 21–23, 2016.
8. B. Zheng, et al., “Forecasting CO₂ emissions using time series and machine learning techniques,” Journal of Cleaner Production, vol. 308, p. 127282, 2021.
9. X. Tan, et al., “Optimization strategies for CO₂ emission reduction in manufacturing industries,” Journal of Environmental Management, vol. 255, p. 109848, 2020.
10. D. P. van Vuuren, et al., “The role of data science in achieving net-zero emissions,” Nature Climate Change, vol. 11, pp. 90–92, 2021.
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