3rd Edition of Global Conference on Biofuels and Bioenergy
September 17-19, 2026 | Rome, Italy
AI & Machine Learning Applications in Bioenergy
The adoption of AI & machine learning applications in bioenergy is transforming efficiency and decision-making in renewable fuel production. Machine learning algorithms optimize biomass conversion processes, predict energy yields, and improve feedstock logistics. AI-driven automation is enhancing reactor control, enzyme engineering, and microbial strain selection for biofuel synthesis. Predictive modeling is also aiding in policy development and market forecasting for bio-based energy. Real-time monitoring and process automation powered by AI are reducing operational costs while improving system adaptability. As big data analytics and deep learning advance, AI-driven solutions are expected to revolutionize bioenergy supply chains and production strategies.
Dai Yeun Jeong
Asia Climate Change Education Center, Korea, Republic of
Stanislaw Dzwigaj
Sorbonne University, France
Enrico Paris
CREA-IT, Italy
Maren Pauly
SGS Beta, United States
Manuel Alcazar Ortega
Valencia Polytechnic University, Spain
Jorge Antonio Hilbert
Energy and Environmental Consulting Services, Argentina
Lina Montuori
Valencia Polytechnic University, SpainSubmit your abstract Today
Title : Mixed Culture Fermentation (MCF) for Sustainable Lactic Acid Production for Polylactic Acid (PLA)
Arindam Chakraborty, Natures Principles, India
Title : Rethinking the iLUC factor in sustainable aviation fuels
Jorge Antonio Hilbert, Energy and Environmental Consulting Services, Argentina
Title : Hydrogen production from contaminated residual biomass: An integrated gasification and SEWGS process study
Enrico Paris, CREA-IT, Italy
Title : Biofuel production from waste plastics
Delia Teresa Sponza, Dokuz Eylul University, Turkey
Title : Application of vanadium and tantalum single-site zeolite catalysts in heterogeneous catalysis
Stanislaw Dzwigaj, Sorbonne University, France
Title : Comparative analyses and optimizations of hybrid biomass and solar energy systems based upon a variety of biomass technologies
Alexey Mikhaylov, Financial university under the Government of Russian Federation, Russian Federation