Sustainable Biofuel from Algae: An Artificial Intelligence Optimization Approach for Production Enhancement

Abstract

This study aims to provide a comprehensive bibliometric analysis of the research landscape at the intersection of sustainable biofuel production from algae and the application of artificial intelligence for optimization. By employing the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework and analyzing publications indexed in the Scopus database between 2022 and 2025, this research seeks to identify key trends, prominent research themes, influential authors and institutions, and potential future directions in this rapidly evolving field. The findings from this bibliometric analysis will offer valuable insights for researchers, policymakers, and industry stakeholders interested in advancing the sustainable production of biofuel from algae through the strategic application of artificial intelligence. This study directly aligns with the growing interest in leveraging AI to unlock the full potential of algae as a sustainable biofuel source, contributing to the development of more efficient and environmentally benign energy solutions.

Keywords: Sustainability, Biofuel, Algae, Artificial Intelligence, Production, Optimization