Hydrogen Revolution: Artificial Intelligence and Machine Learning Driven Policies, Feasibility, Challenges and Opportunities: Insights from Asian Countries

Green hydrogen, a zero-carbon emission fuel, has become a real competitor to transform the energy market, thanks to improvements in the electrolysis process, decreased costs, and the presence of renewable energy resources. Energy industries have shown considerable progress in hydrogen production due to the incorporation of artificial intelligence (AI) knowledge through algorithms, AI-based models and data programs. These techniques can greatly enhance the production, storage, and transportation of hydrogen fuel. The main goal of this article is to demonstrate the recent technological advancements and the influence of various AI techniques, algorithms, and models on the hydrogen energy sector along with this further examination of the energy policies of countries like China, Japan, India and South Korea. The key challenges related to these energy policies are addressed through standardized datasets, AI models and optimized environmental conditions. This paper serves as a valuable resource for researchers, engineers, and practitioners interested in applying cutting-edge technologies to enhance hydrogen safety systems. AI-based models contribute to the overall shift towards a sustainable energy future by enhancing efficiency, reducing costs, and facilitating hydrogen energy commerce for Asian countries. This study accelerates the global investigation and tremendous applications of sophisticated machine-learning methodologies for producing renewable green hydrogen.