AI-Driven Predictive Modeling for Biomass Carbon Sequestration and Decarbonization

DOI: https://doi.org/10.23939/cte2025.01.047
Computer Simulation in the Chemical Technology and Engineering
pp.
47-52
Анотація

As climate change mitigation gains urgency, AI-driven predictive modeling optimizes biomass-based carbon sequestration, enhancing efficiency and supporting decarbonization. This article explores machine learning techniques, data sources, and real-world applications that improve carbon capture, contributing to sustainable environmental management and global CO₂ reduction efforts.

Ключові слова (англійською)
AI
decarbonization
computer modeling
biomass
Автор (співавтори)
Ім'я Прізвище Приналежність до організації E-mail Номер телефону ORCID ID Вчене звання, посада Адреса організації Внесок автора(ів) Приналежність до організації
Mykhailo
Hurei
mykhailo.gurei@gmail.com
0009-0007-2157-8951
15 Karpatska St.
Концептуалізація
Дослідження
Ivano Frankivsk National Technical University of Oil and Gas
References

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