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THE ROLE OF AI AND BIG DATA IN DECARBONIZATION: ACCELERATING THE PATH TO NET-ZERO

    Dr. Srinivasa Krishna Prasad Buravelli, Venkata Narasimha Chandra Sekhar Repaka

Abstract

This study examines how Artificial Intelligence (AI) and Big Data drive worldwide decarbonization through speeded efforts towards achieving zero net emissions. This research combines academic and industry literature to discover major AI and Big Data applications in energy and agriculture and transport and urban development sectors yet it emphasizes the obstacles of data governance and digital inclusion and ethical AI utilization. The paper uses secondary qualitative research and thematic analysis to deliver essential findings about responsible technology scale-up. The research supports the development of climate action strategies which combine data-driven analysis with social equity principles.

Keyword : Artificial Intelligence, Big Data, Decarbonization, Net-Zero, Climate Change, Smart Cities, Carbon Emissions, Digital Innovation, Energy Efficiency, Environmental Sustainability, Climate Policy, Data Governance.

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May 28, 2025
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This work is licensed under a Creative Commons Attribution 4.0 International License.

References


1. Alatalo, J., Heilimo, E., Rantonen, M., Väänänen, O. and Sipola, T., 2025. Reducing Emissions Using Artificial Intelligence in the Energy Sector: A Scoping Review. Applied Sciences, 15(2), p.999. 2. Anantharaman, M., Sardar, A. and Islam, R., 2025. Decarbonization of Shipping and Progressing Towards Reducing Greenhouse Gas Emissions to Net Zero: A Bibliometric Analysis. Sustainability, 17(7), p.2936. 3. Duan, Z. and Kim, S., 2023. Progress in research on net-zero-carbon cities: a literature review and knowledge framework. Energies, 16(17), p.6279. 4. Glavič, P., Pintarič, Z.N., Levičnik, H., Dragojlović, V. and Bogataj, M., 2023. Transitioning towards net-zero emissions in chemical and process industries: a holistic perspective. Processes, 11(9), p.2647. 5. Jin, B. and Bae, Y., 2023. Prospective research trend analysis on zero-energy building (ZEB): An artificial intelligence approach. Sustainability, 15(18), p.13577. 6. Jouzdani, F.M., Javidroozi, V., Shah, H. and Mateo Garcia, M., 2025. A Systemic Digital Transformation for Smart Net-Zero Cities: A State-of-the-Art Review. J, 8(1), p.11. 7. Komninos, N., 2022. Net zero energy districts: connected intelligence for carbon-neutral cities. Land, 11(2), p.210. 8. Krishna Prasad Buravelli, S. (2024). Analyzing Skill Development in the Context of Automotive Digital Transformation. Global Journal of Business and Integral Security. Retrieved from https://gbis.ch/index.php/gbis/article/view/479 9. Li, J., Shirowzhan, S., Pignatta, G. and Sepasgozar, S.M., 2024. Data-Driven Net-Zero Carbon Monitoring: Applications of Geographic Information Systems, Building Information Modelling, Remote Sensing, and Artificial Intelligence for Sustainable and Resilient Cities. Sustainability, 16(15), p.6285. 10. Mohamed, A.M.O., Mohamed, D., Fayad, A. and Al Nahyan, M.T., 2024. Enhancing decision making and decarbonation in environmental management: a review on the role of digital technologies. Sustainability, 16(16), p.7156. 11. Mondal, S., Das, S. and Vrana, V.G., 2024. Exploring the Role of Artificial Intelligence in Achieving a Net Zero Carbon Economy in Emerging Economies: A Combination of PLS-SEM and fsQCA Approaches to Digital Inclusion and Climate Resilience. Sustainability, 16(23), p.10299. 12. Neethirajan, S., 2024. Net zero dairy farming—advancing climate goals with big data and artificial intelligence. Climate, 12(2), p.15. 13. Neethirajan, S., 2024. Net zero dairy farming—advancing climate goals with big data and artificial intelligence. Climate, 12(2), p.15. 14. Norbu, S., Couraud, B., Challinor, J., Flynn, D., Gibbons, G., Andoni, M., Robu, V., Taha, A. and Imran, M., 2024, December. Cyber-physical energy systems: enabling tailored decarbonization and net-zero pathways for communities. In IET Powering Net Zero (PNZ 2024) (Vol. 2024, pp. 28-34). IET. 15. Shaddick, G., Topping, D., Hales, T.C., Kadri, U., Patterson, J., Pickett, J., Petri, I., Taylor, S., Li, P., Sharma, A. and Venkatkrishnan, V., 2025. Data science and AI for sustainable futures: Opportunities and challenges. Sustainability, 17(5).