Machine learning for real-time green carbon dioxide tracking in refinery processes
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DOI: 10.1016/j.rser.2025.115417
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- Kursa, Miron B. & Rudnicki, Witold R., 2010. "Feature Selection with the Boruta Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 36(i11).
- Aquila, Giancarlo & Pamplona, Edson de Oliveira & Queiroz, Anderson Rodrigo de & Rotela Junior, Paulo & Fonseca, Marcelo Nunes, 2017. "An overview of incentive policies for the expansion of renewable energy generation in electricity power systems and the Brazilian experience," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1090-1098.
- Cao, Liang & Su, Jianping & Saddler, Jack & Cao, Yankai & Wang, Yixiu & Lee, Gary & Siang, Lim C. & Pinchuk, Robert & Li, Jin & Gopaluni, R. Bhushan, 2024. "Real-time tracking of renewable carbon content with AI-aided approaches during co-processing of biofeedstocks," Applied Energy, Elsevier, vol. 360(C).
- Axsen, Jonn & Wolinetz, Michael, 2023. "What does a low-carbon fuel standard contribute to a policy mix? An interdisciplinary review of evidence and research gaps," Transport Policy, Elsevier, vol. 133(C), pages 54-63.
- Ben Conigrave, 2023. "Canada’s transition to net zero emissions," OECD Economics Department Working Papers 1760, OECD Publishing.
- Stylianos D. Stefanidis & Konstantinos G. Kalogiannis & Angelos A. Lappas, 2018. "Co‐processing bio‐oil in the refinery for drop‐in biofuels via fluid catalytic cracking," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 7(3), May.
- Ebadian, Mahmood & van Dyk, Susan & McMillan, James D. & Saddler, Jack, 2020. "Biofuels policies that have encouraged their production and use: An international perspective," Energy Policy, Elsevier, vol. 147(C).
- Yeh, Sonia & Witcover, Julie & Lade, Gabriel E. & Sperling, Daniel, 2016. "A review of low carbon fuel policies: Principles, program status and future directions," Energy Policy, Elsevier, vol. 97(C), pages 220-234.
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