Open Access
| Issue |
E3S Web of Conf.
Volume 558, 2024
4th International Conference on Sustainable, Circular Management and Environmental Engineering (ISCMEE 2024)
|
|
|---|---|---|
| Article Number | 01009 | |
| Number of page(s) | 10 | |
| DOI | https://doi.org/10.1051/e3sconf/202455801009 | |
| Published online | 02 August 2024 | |
- Inderwildi, O., & Kraft, M. (2022). Intelligent Decarbonisation. Can Artificial Intelligence and Cyber-Physical Systems Help Achieve Climate Mitigation Targets? Lecture Notes in Energy. Springer Nature Switzerland AG, 260. https://doi.org/10.1007/978-3-030-86215-2 [Google Scholar]
- Kravchenko, M., Trofymenko, O., Kopishynska, K., & Pyshnograiev, I. (2023). Assessing the Development of Energy Innovations and Its Impact on the Sustainable Development of Countries. In: Zgurovsky, M., Pankratova, N. (eds) System Analysis and Artificial Intelligence. Studies in Computational Intelligence, 1107. Springer, Cham. https://doi.org/10.1007/978-3-031-37450-0_24 [Google Scholar]
- Rattle, I., Gailani, A., & Taylor, P.G. (2024) Decarbonisation strategies in industry: going beyond clusters. Sustainability Science, 19, 105–123. https://doi.org/10.1007/s11625-023-01313-4 [CrossRef] [Google Scholar]
- Bataille, C, Nilsson, L., & Jotzo, F (2021) Industry in a net-zero emissions world: new mitigation pathways, new supply chains, modelling needs and policy implications. Energy Clim Change, 2, 100059. [CrossRef] [Google Scholar]
- Leal-Arcas, R. Gasimov, A., & Vundhyala Shanthan, R. Energy Security, Decarbonization, and the Environmental Justice Movement (2023). Sustainability in Environment, 8, 53-66. [Google Scholar]
- Olabi, A., Abdelghafar, A., Maghrabie, H., Sayed, E., Rezk, H., Radi, M., Obaideen, K. & Abdelkareem, M. A. (2023). Application of Artificial Intelligence for Prediction, Optimization, and Control of Thermal Energy Storage Systems. Thermal Science and Engineering Progress, 39, 101730. https://doi.org/10.1016/j.tsep.2023.101730. [CrossRef] [Google Scholar]
- Fang B, Yu J, Chen, Z, et al. (2023) Artificial intelligence for waste management in smart cities: A review. Environmental Chemistry Letters, 21, 1959–1989. 10 [CrossRef] [Google Scholar]
- Shams, S. R., Jahani, A., Kalantary, S., Moeinaddini, M. & Khorasani, N. (2021). Artificial Intelligence Accuracy Assessment in NO2. Concentration Forecasting of Metropolises Air. Scientific Reports, 11, 1805. https://doi.org/10.1038/s41598-021-81455-6. [Google Scholar]
- Ahmad, S., Shafiullah, M., Ahmed, C. & M, Alowaifeer (2023). A Review of Microgrid Energy Management and Control Strategies. IEEE Access, 11, 21729-21757. https://doi.org/10.1109/ACCESS.2023.3248511 [CrossRef] [Google Scholar]
- Fostering Effective Energy Transition (2023). World Economic Forum. https://www.weforum.org/publications/fostering-effective-energy-transition-2023/ [Google Scholar]
- Boston Consulting Group (2021). Reduce Carbon and Costs with the Power of AI. https://www.bcg.com/publications/2021/ai-to-reduce-carbon-emissions [Google Scholar]
- Enerdata (2024). Global Energy Transition Statistics. https://yearbook.enerdata.net [Google Scholar]
- Voitko, S., Trofymenko, O. & Pavlenko, T. (2021). Decarbonisation of the economy through the introduction of innovative technologies into the energy sector. E3S Web Conference, 255, 01016. https://doi.org/10.1051/e3sconf/202125501016 [Google Scholar]
- The Royal Norwegian Ministry of Energy. (2024). https://www.regjeringen.no/no/dep/sd/id791/ [Google Scholar]
- Norwegian Petroleum Directorate. (2024). https://energistics.org/norwegian- petroleum-directorate-npd [Google Scholar]
- Equinor. (2021). Equinor annual and sustainability reports for 2021. https://www.equinor.com/news/20220318-annual-sustainability-reports-2021 [Google Scholar]
- The Global AI Index. (2024). https://www.tortoisemedia.com/intelligence/global- ai/#data [Google Scholar]
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